R/InternalFrequency_SVMerge.r
In VilainLab/nanotatoR: Next generation structural variant annotation and classification
Defines functions
internalFrequencyTrio_Duo
Documented in
internalFrequencyTrio_Duo
#' Calculates the internal frequencies of SV in internal cohorts,
#' for SVMerge
#'
#' @param mergedFiles character. Path to the merged SV files.
#' @param smappath character. path to the query smap file.
#' @param smap character. File name for the smap
#' @param smapdata character. Dataframe if input type chosen as dataframe.
#' @param buildSVInternalDB boolean. Checking whether the merged solo
#' file database exist.
#' @param input_fmt_SV Format in which data
#' is provided as an input to thefunction.
#' @param path character. Path to the solo file database.
#' @param pattern character. pattern of the file names to merge.
#' @param outpath character. Path to merged SV solo datasets.
#' @param dbOutput character. Output of merged bionano data.
#' @param fname character. Filename in case dbOutput = Text.
#' @param win_indel N umeric. Insertion and deletion error window.
#' Default 10000.
#' @param win_inv_trans Numeric. Inversion and translocation error window.
#' Default 50000.
#' @param perc_similarity Numeric . ThresholdPercentage similarity
#' of the query SV and reference SV. Default 0.5.
#' @param perc_similarity_parents Numeric . ThresholdPercentage similarity
#' for zygosity determination. Default 0.9.
#' @param EnzymeType Character. Type of enzyme. Options Dual and DLE.
#' @param indelconf Numeric. Threshold for insertion and deletion confidence.
#' Default 0.5
#' @param invconf Numeric. Threshold for inversion confidence.Default 0.01.
#' @param transconf Numeric. Threshold for translocation confidence.
#' Default 0.1.
#' @param limsize Numeric. Minimum size of SV that can be determined
#' acurately by the Bionano SV caller. Default 1000.
#' @param win_indel_parents Numeric. Insertion and deletion error window to
#' determine zygosity in case of parents. Default 5000.
#' @param win_inv_trans_parents Numeric. Inversion and translocation error
#' window to determine zygosity in case of parents. Default 40000.
#' @param indexfile File containing connection between sample and nanoIDs
#' @param labelType character. Type of labels used for mapping.
#' Choices are Dual, DLE and Both.
#' @param SVMerge_path character. Path for the Dual labelled cmap
#' @param SVMerge_pattern character. pattern of the dual files.
#' @param SE_path character. Path for the Dual labelled cmap
#' @param SE_pattern character. pattern of the dual files.
#' @param Samplecodes character. File containing relations and IDs
#' associated to them.
#' @param mergeKey character. File containing sample ID and relation.
#' @param outpath character. Path where the merged samples are kept.
#' @param mergedKeyoutpath character. File path storing sample name and nanoID
#' key information.
#' @param mergedKeyFname character. File name storing sample name and nanoID
#' key information.
#' @param returnMethod character. Choice between Text and DataFrame.
#' @param returnMethod character. Choice between Text and DataFrame.
#' Required if you want to calculate internal frequency.
#' @return Calculated internal frequency in dataframe or text.
#' @examples
#' smapName="GM24385_Ason_DLE1_VAP_trio5.smap"
#' smap = system.file("extdata", smapName, package="nanotatoR")
#' indelconf = 0.5; invconf = 0.01;transconf = 0.1;input_fmt_SV="Text";
#' datInf <- internalFrequency_solo( smap = smap,
#' buildSVInternalDB = FALSE, win_indel=10000,
#' win_inv_trans=50000, EnzymeType = "SE",
#' mergedFiles = system.file("extdata", "nanotatoRControl.txt", package="nanotatoR"),
#' perc_similarity_parents =0.9,
#' indexfile = system.file("extdata", "Sample_index.csv", package="nanotatoR"),
#' perc_similarity=0.5, indelconf=0.5, invconf=0.01,
#' transconf=0.1, limsize=1000, win_indel_parents=5000,input_fmt="Text",
#' win_inv_trans_parents=40000,
#' returnMethod="dataFrame", input_fmt_SV = "Text")
#' @importFrom stats na.omit
#' @import tidyverse
#' @import hash
#' @importFrom rlang .data
#' @importFrom dplyr mutate group_by summarise
#' @export
internalFrequencyTrio_Duo <- function(mergedFiles, smappath , smap ,
buildSVInternalDB=FALSE, smapdata,
path, pattern, outpath, win_indel=10000, win_inv_trans=50000,
perc_similarity=0.5, indelconf=0.5, invconf=0.01, fname,
limsize=1000, win_indel_parents=5000,win_inv_trans_parents=40000,
transconf=0.1, dbOutput =c("dataframe","text"),
perc_similarity_parents=0.9,
returnMethod=c("Text","dataFrame"),
input_fmt_SV=c("Text","dataFrame"),
indexfile,
EnzymeType = c("SVmerge", "SE"),
labelType = c("SVMerge", "SE", "Both"),
SVMerge_path ,SVMerge_pattern ,
SE_path , SE_pattern,
Samplecodes ,mergeKey,
mergedKeyoutpath, mergedKeyFname){
#library(hash)
print("###Calculating the Internal Frequency###")
if(buildSVInternalDB == TRUE){
r <- merging_SE_SVMerge(
labelType = labelType,
SVMerge_path = SVMerge_path,
SVMerge_pattern = SVMerge_pattern,
SE_path = SE_path,
SE_pattern = SE_pattern,
Samplecodes = Samplecodes,
mergeKey = mergeKey,
mergedKeyoutpath = mergedKeyoutpath,
mergedKeyFname = mergedKeyFname,
outputMode = "dataframe")
}
else{
r <- read.table(mergedFiles, sep = "\t", header = TRUE)
}
usamp <- length(unique(r$nanoID))
if(input_fmt_SV=="dataFrame"){
smapdata = smapdata
if(EnzymeType == "SVMerge"){
#smapdata <- readSMap(smap, input_fmt_smap = "Text")
SVID <- smapdata$SVIndex
}
else{
#smapdata <- readSMap_DLE(smap, input_fmt_smap)
SVID <- smapdata$SmapEntryID
}
}
else if(input_fmt_SV=="Text"){
if(EnzymeType == "SVMerge"){
smapdata <- readSMap(smap, input_fmt_smap = "Text")
SVID<-smapdata$SVIndex
}
else{
smapdata <- readSMap_DLE(smap, input_fmt_smap = "Text")
SVID<-smapdata$SmapEntryID
}
}
else{
stop("Input format for SMAP Incorrect")
}
r1 <- smapdata
sampID <- str_squish(as.character(unique(r1$SampleID)))
ufam <- as.character(unique(r$nanoID))
famid <- c()
for (qp in seq_len(length(ufam)))
{
stt <- strsplit(ufam[[qp]][1], split = "[.]")
famid <- c(famid, as.character(stt[[1]][1]))
}
datf1 <- data.frame(table(famid))
ha <- hash()
.set(ha, keys = as.character(datf1$famid),
values = as.character(datf1$Freq))
## Checking Sex male/female and assigning chromosome number accordingly
chro1 <- sort(unique(r1$RefcontigID1))
#chro1 <- c(1:chro)
dataFinal <- c()
for (ii in seq_along(chro1))
{
dat <- r[which(r$RefcontigID1 == chro1[ii]), ]
# variantType1<-dat$variantsubtype Changing the variant terms in DGV to
# match svmap
variantType1 <- dat$Type
BSPQI_status_DB <- as.character(dat$Found_in_self_BSPQI_molecules)
BSSSI_status_DB <- as.character(dat$Found_in_self_BSSSI_molecules)
## Extracting data from SVmap
dat1 <- r1[which(r1$RefcontigID1 == chro1[ii]), ]
chromo2<-dat1$RefcontigID2
## Adding the windows to the breakpoints
rf <- dat1$RefStartPos
rf_wb_ind <- rf - win_indel
rf_fb_ind <- rf + win_indel
rf_wb_int <- rf - win_inv_trans
rf_fb_int <- rf + win_inv_trans
re <- dat1$RefEndPos
re_wf_ind <- re + win_indel
re_wb_ind <- re - win_indel
re_wb_int <- re - win_inv_trans
re_fb_int <- re + win_inv_trans
## Calculating size
size_bn <- dat1$Size
conf1 <- dat1$Confidence
variantType2 <- as.character(dat1$Type)
###Parents Zygosity check
'win_indel_parents<-as.numeric(win_indel_parents[oo])
win_inv_trans_parents<- as.numeric(win_inv_trans_parents[oo])
perc_similarity_parents<-as.numeric(perc_similarity_parents[oo])'
#win_indel_parents<-as.numeric(win_indel_parents)
#win_inv_trans_parents<- as.numeric(win_inv_trans_parents)
'win_inv_trans_parents<- as.numeric(win_inv_trans_parents[oo])'
#perc_similarity_parents<-as.numeric(perc_similarity_parents)
rf_wb_ind_parents <- rf - win_indel_parents
rf_fb_ind_parents <- rf + win_indel_parents
rf_wb_int_parents <- rf - win_inv_trans_parents
rf_fb_int_parents <- rf + win_inv_trans_parents
#re <- dat1$RefEndPos
re_wf_ind_parents <- re + win_indel_parents
re_wb_ind_parents <- re - win_indel_parents
re_wb_int_parents <- re - win_inv_trans_parents
re_fb_int_parents <- re + win_inv_trans_parents
# svfam<-as.character(dat1$SVIdentifier)
#print(indexfile)
if(buildSVInternalDB == FALSE){
famindexfile <-read.csv(indexfile)
} else{
famindexfile <- read.csv(file.path(
mergedKeyoutpath = mergedKeyoutpath,
mergedKeyFname = mergedKeyFname))
}
ha1 <- hash()
.set(ha1, keys = famindexfile$SampleID, values = famindexfile$NID)
val1 <-as.character(hash::values(ha1, keys = sampID))
stt1 <- strsplit(val1, split = "\\.")
patID <- stt1[[1]][2]
svfamid <- stt1[[1]][1]
ha2 <- hash()
.set(ha2, keys = famindexfile$SampleID, values = famindexfile$Tag)
'if((length(grep("\\\\",smap))>=1)){
spl<-strsplit(as.character(smap), split = "\\\\")
lenspll1<-length(spl[[1]])
spl1 <- strsplit(as.character(spl[[1]][lenspll1]), split = "_")
# svfamid<-as.character(spl1[[1]][2])
spl2 <- strsplit(as.character(spl1[[1]][1]), split = "[.]")
patID <- spl2[[1]][2]
svfamid <- spl2[[1]][1]
}
else if((length(grep("/",smap))>=1)){
spl<-strsplit(as.character(smap), split = "/")
lenspll1<-length(spl[[1]])
spl1 <- strsplit(as.character(spl[[1]][lenspll1]), split = "_")
# svfamid<-as.character(spl1[[1]][2])
spl2 <- strsplit(as.character(spl1[[1]][1]), split = "[.]")
patID <- spl2[[1]][2]
svfamid <- spl2[[1]][1]
}
else{
spl1 <- strsplit(as.character(smap), split = "_")
# svfamid<-as.character(spl1[[1]][2])
spl2 <- strsplit(as.character(spl1[[1]][1]), split = "[.]")
patID <- spl2[[1]][2]
svfamid <- spl2[[1]][1]
}'
# svind<-dat1$SVIndex
bsssi<-c()
bspqi<-c()
rest<-c()
# conf<-dat$Confidence countfre<-0 percn<-c()
datf <- c()
print(paste('Chrom:',ii,sep=''))
#for (nn in 1:20)
for (nn in seq_along(rf))
{
#print(paste("nn:",nn))
if ((variantType2[nn] == "deletion" |
variantType2[nn] == "insertion")){
dat2 <-dat[which((dat$RefStartPos >= rf_wb_ind[nn]
& dat$RefEndPos <= re_wf_ind[nn])),]
size1 <- size_bn[nn]
## Calculating Internal Frequency
if (nrow(dat2) > 1)
{
dat2$perc_ref_query <- as.numeric(dat2$Size)/size1
dat2$perc_query_ref <- size1/as.numeric(dat2$Size)
stt12 <- str_split(as.character(dat2$nanoID),
pattern = "\\.")
famid <- c(); relnid <- c()
'for(ee in seq_along(stt12)){
famid <- c(famid, as.character(stt12[[ee]][1]))
relnid <- c(relnid, as.character(stt12[[ee]][2]))
}
'
dat2$FamilyID <- sapply(stt12, function(x) x[1])
dat2$RelationID <- sapply(stt12, function(x) x[2])
dat2MomEqual <- dat2[which(((dat2$RefStartPos == rf[nn])
& (dat2$RefEndPos==re[nn]))
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 &
dat2$RelationID == 2)),]
dat2DadEqual <- dat2[which(((dat2$RefStartPos ==rf[nn]) &
(dat2$RefEndPos==re[nn])) &
(dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1
& dat2$RelationID == 3)),]
dat2MomRange <- dat2[which(((
dat2$RefStartPos >= rf_wb_int_parents[nn])
& (dat2$RefEndPos <= re_fb_int_parents[nn]))
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1
& dat2$RelationID == 2)),]
'dat2MomRange <- subset(dat2,((((RefStartPos <= rf[nn] &
RefStartPos >= rf_wb_ind_parents[nn]) |
(RefStartPos >= rf[nn] & RefStartPos <= rf_wb_ind_parents[nn]))
& ((RefEndPos >= re[nn] & RefStartPos <= re_wf_ind_parents[nn])
| (RefEndPos <= re[nn] & dat2$RefEndPos >= re_wf_ind_parents[nn])))
& (dat2$perc >= perc_similarity)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 2)))'
dat2DadRange <- dat2[which(((
dat2$RefStartPos >= rf_wb_int_parents[nn])
& (dat2$RefEndPos <= re_fb_int_parents[nn]))
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1
& dat2$RelationID == 3)),]
dat2Frequency <- dat2[which((
dat2$perc_ref_query >= perc_similarity
& dat2$perc_query_ref >= perc_similarity)
& (dat2$Size >= limsize)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) != svfamid)
& (dat2$Confidence >= indelconf)
& ((dat2$Found_in_self_BSPQI_molecules == "yes"
& dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_self_BSPQI_molecules == "no"
& dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_self_BSPQI_molecules == "yes"
& dat2$Found_in_self_BSSSI_molecules == "no")
| (dat2$Found_in_self_BSPQI_molecules == "yes"
& dat2$Found_in_self_BSSSI_molecules == "-")
| (dat2$Found_in_self_BSPQI_molecules == "-"
& dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_SE_self_molecules == "yes"))
& ((dat2$Type1 =="insertion" & dat2$Type2 =="insertion")
| (dat2$Type1 =="insertion" & is.na(dat2$Type2))
| (is.na(dat2$Type1) & dat2$Type2 =="insertion")
| (dat2$Type1 == "deletion" & dat2$Type2 == "deletion")
| (dat2$Type1 == "deletion" & is.na(dat2$Type2))
| (is.na(dat2$Type1) & dat2$Type2 =="deletion")
| (dat2$Type1 == "-"
& dat2$Type2 == "-" & dat2$Type == "deletion")
| (dat2$Type1 == "-"
& dat2$Type2 == "-" & dat2$Type == "insertion"))),]
dat2UnfilteredFrequency <- dat2[which((
dat2$perc_ref_query >= perc_similarity &
dat2$perc_query_ref >= perc_similarity)
& (as.character(dat2$FamilyID) != svfamid)
& (as.character(dat2$Type) == variantType2[nn])),]
'countfre <- c();countfreunfilt<-c()
sv1 <- dat2$nanoID
# svind1<-dat2$SVIndex
#sv1 <- strsplit(as.character(svfam1), split = "_")
size_internal <- dat2$Size
zygo <- as.character(dat2$Zygosity)
type <- as.character(dat2$Type)
typ1 <- as.character(dat2$Type1)
typ2 <- as.character(dat2$Type2)
#svid <- as.numeric(dat2$SVIndex)
\'if (length(grep("SVIndex",names(smap)))>0){
svid <- dat2$SVIndex
}
else{
svid <- dat2$SmapEntryID
}\'
BSPQI_status_DB <-
as.character(dat2$Found_in_self_BSPQI_molecules)
BSSSI_status_DB <-
as.character(dat2$Found_in_self_BSSSI_molecules)
svStrt<-as.numeric(dat2$RefStartPos)
svEnd<-as.numeric(dat2$RefEndPos)
type1<-as.character(dat2$Type1)
type2<-as.character(dat2$Type2)
conf <- dat2$Confidence
motherZygosity <- c()
fatherZygosity <- c()
motherZygosity_exact <- c()
fatherZygosity_exact <- c()
svfamid3 <- c()
svfamid3_unfilt <- c()
bsssi<-c()
bs_bq<-c()
bspqi<-c()
svSAMP<-c()
svSAMP_unfiltered<-c()
homozygo<-c()
for (ll in seq_len(nrow(dat2))){
perc <- (size1/size_internal[ll])
print(perc)
print (sv1[ll])
#### print(perc) print(type[ll])
stt <- strsplit(as.character(sv1[ll]), split = "[.]")
patID1 <- stt[[1]][2]
svfamid1 <- stt[[1]][1]
#### print(svfamid1)
###Filtered INDEL
##Check whether the parents have same breakpoints
##as the proband
if (((svStrt[ll]==rf[nn]) & (svEnd[ll]==re[nn])) &
(perc_ref_query >= perc_similarity & perc_query_ref >= perc_similarity) &
identical(type[ll], variantType2[nn]) &
(identical(svfamid1, svfamid))){
# Family Extra column zygosity
if (patID == 1 & patID1 == 2){
# svfamid3<-c(svfamid3,svfamid1)
motherZygosity_exact <- c(motherZygosity_exact,
as.character(zygo[ll]))
fatherZygosity_exact <- c(fatherZygosity_exact,
NULL)
}
else if (patID == 1 & patID1 == 3){
motherZygosity_exact <- c(motherZygosity_exact,
NULL)
fatherZygosity_exact <- c(fatherZygosity_exact,
as.character(zygo[ll]))
}
else if (patID == patID1){
motherZygosity_exact <- c(motherZygosity_exact,
NULL)
fatherZygosity_exact <- c(fatherZygosity_exact,
NULL)
}
else{
# svfamid3<-c(svfamid3,svfamid1)
motherZygosity_exact <- c(motherZygosity_exact,
NULL)
fatherZygosity_exact <- c(fatherZygosity_exact,
NULL)
}
}
else if ((perc_ref_query >= perc_similarity & perc_query_ref >= perc_similarity) &
identical(type[ll], variantType2[nn]) &
(identical(svfamid1, svfamid)) &
((( svStrt[ll] <= rf[nn] &
svStrt[ll] >= rf_wb_ind_parents[nn]) |
(svStrt[ll] >= rf[nn] &
svStrt[ll] <= rf_fb_ind_parents[nn])) &
((svEnd[ll] >= re[nn] &
svEnd[ll] <= re_wf_ind_parents[nn]) |
(svEnd[ll] <= re[nn] &
svEnd[ll] >= re_wb_ind_parents[nn])))
){
#Family Extra column zygosity
if (patID == 1 & patID1 == 2){
# svfamid3<-c(svfamid3,svfamid1)
motherZygosity <- c(motherZygosity,
as.character(zygo[ll]))
fatherZygosity <- c(fatherZygosity, NULL)
}
else if (patID == 1 & patID1 == 3){
motherZygosity <- c(motherZygosity, NULL)
fatherZygosity <- c(fatherZygosity,
as.character(zygo[ll]))
}
else if (patID == patID1){
motherZygosity <- c(motherZygosity, NULL)
fatherZygosity <- c(fatherZygosity, NULL)
}
else {
# svfamid3<-c(svfamid3,svfamid1)
motherZygosity <- c(motherZygosity, NULL)
fatherZygosity <- c(fatherZygosity, NULL)
}
}
else if ((perc_ref_query >= perc_similarity & perc_query_ref >= perc_similarity) &
(identical(type[ll], variantType2[nn])) &
((size_internal[ll]>=limsize)) &
!(identical(svfamid1, svfamid)) &
(conf[ll] >= indelconf) &
((BSPQI_status_DB[ll] == "yes" &
BSSSI_status_DB[ll] == "yes")
| (BSPQI_status_DB[ll] == "no" &
BSSSI_status_DB[ll] == "yes") |
(BSPQI_status_DB[ll] == "yes" &
BSSSI_status_DB[ll] == "no") |
(BSPQI_status_DB[ll] == "yes" &
BSSSI_status_DB[ll] == "-") |
(BSPQI_status_DB[ll] == "-" &
BSSSI_status_DB[ll] == "yes")) &
((typ1[ll]=="insertion" &
typ2[ll]=="insertion") |
(typ1[ll]=="insertion" & is.na(typ2[ll])) |
(is.na(typ1[ll]) & typ2[ll]=="insertion") |
(typ1[ll]=="deletion" & typ2[ll]=="deletion") |
(typ1[ll]=="deletion" & is.na(typ2[ll])) |
(is.na(typ1[ll]) & typ2[ll]=="deletion"))
) {
#print ("Not in the same family")
countfre <- c(countfre,1)
print(countfre)
svfamid3 <- c(svfamid3, as.character(sv1[ll]))
motherZygosity <- c(motherZygosity, "-")
fatherZygosity <- c(fatherZygosity, "-")
svSAMP<-c(svSAMP,ll)
if(as.character(zygo[ll])=="homozygous"){
homozygo<-c(homozygo,
as.character((sv1[ll])))
}
else{
homozygo<-c(homozygo, NULL)
}
}
else{
motherZygosity <- c(motherZygosity, "-")
fatherZygosity <- c(fatherZygosity, "-")
}
###Unfiltered INDEL
if (perc >= perc_similarity &
identical(type[ll], variantType2[nn]) &
!(identical(svfamid1, svfamid))){
countfreunfilt <- c(countfreunfilt,1)
svfamid3_unfilt <- c(svfamid3_unfilt,
as.character(sv1[ll]))
svSAMP_unfiltered<-c(svSAMP_unfiltered,ll)
}
else{
\'print ("SVs does not meet the unfiltered
criteria!!!")\'
}
}'
##Filtered
if (is.null(dat2Frequency)){
filtFreq = 0
cntHomozygotes = 0
}else if (nrow(dat2Frequency) > 0){
dat2Homozygotes <- data.frame(dat2Frequency %>%
mutate(Homozygo = .data$Zygosity=="homozygous")
%>% group_by(.data$nanoID)
%>% summarise (Homozygotes = sum(.data$Homozygo)))
cntHomozygotes <- sum(dat2Homozygotes$Homozygo)
dat2Homozygotes [,2] <- ifelse(
dat2Homozygotes[,2] > 0, 2, 0
)
dat2Heterozygotes <- data.frame(
dat2Frequency
%>% mutate(
Heterozygo = .data$Zygosity == "heterozygous"
)
%>% group_by(.data$nanoID)
%>% summarise (Heterozygotes = sum(.data$Heterozygo
)))
dat2Heterozygotes [,2] <- ifelse(
dat2Heterozygotes[,2] > 0, 1, 0
)
dat2Unknown <- data.frame(dat2Frequency
%>% mutate(Unknown = .data$Zygosity == "unknown")
%>% group_by(.data$nanoID)
%>% summarise (Unknown = sum(.data$Unknown)))
dat2Unknown [,2] <- ifelse(
dat2Unknown[,2] > 0, 2, 0
)
dat2filtFreq <- data.frame(
NR = dat2Homozygotes[,1],
Homozygote = dat2Homozygotes[,2],
Heterozygotes = dat2Heterozygotes[,2],
Unknown = dat2Unknown[,2])
row.names(dat2filtFreq) <- as.character(
dat2Homozygotes[,1])
dat2filtFreq$RowSum <- ifelse(
(dat2filtFreq$Heterozygotes ==1
& (dat2filtFreq$Homozygote == 0
& dat2filtFreq$Unknown == 0)), 1, 2)
filtFreq <- sum(dat2filtFreq$RowSum)
}else{
filtFreq = 0
cntHomozygotes = 0
}
###Unfiltered
if (is.null(dat2UnfilteredFrequency)){
filtFreq = 0
cntHomozygotes = 0
}else if (nrow(dat2UnfilteredFrequency) > 0){
dat2Homozygotes <- data.frame(
dat2UnfilteredFrequency
%>% mutate(Homozygo=.data$Zygosity=="homozygous")
%>% group_by(.data$nanoID)
%>% summarise (Homozygotes = sum(.data$Homozygo)))
#cntHomozygotes <- sum(dat2Homozygotes$Homozygotes)
dat2Homozygotes [,2] <- ifelse(
dat2Homozygotes[,2] > 0, 2, 0
)
dat2Heterozygotes <- data.frame(
dat2UnfilteredFrequency
%>% mutate(
Heterozygo = .data$Zygosity == "heterozygous")
%>% group_by(.data$nanoID)
%>% summarise (Heterozygotes = sum(.data$Heterozygo)))
dat2Heterozygotes [,2] <- ifelse(
dat2Heterozygotes[,2] > 0, 1, 0
)
dat2Unknown <- data.frame(dat2UnfilteredFrequency
%>% mutate(Unknown = .data$Zygosity == "unknown")
%>% group_by(.data$nanoID)
%>% summarise (Unknown = sum(.data$Unknown)))
dat2Unknown [,2] <- ifelse(
dat2Unknown[, 2] > 0, 2, 0
)
dat2unfiltFreq <- data.frame(
Homozygote = dat2Homozygotes[,2],
Heterozygotes = dat2Heterozygotes[,2],
Unknown = dat2Unknown[,2])
row.names(dat2unfiltFreq) <- as.character(
dat2Homozygotes[,1]
)
dat2unfiltFreq$RowSum <- ifelse((
dat2unfiltFreq$Heterozygotes ==1
& (dat2unfiltFreq$Homozygote == 0
& dat2unfiltFreq$Unknown == 0)), 1, 2)
UnfilteredFrequency = sum(dat2unfiltFreq$RowSum)
} else{
UnfilteredFrequency = 0
}
##Calculating filtered Frequency INDEL
##Zygosity Parent
if(length(dat2DadEqual$Zygosity) > 0){
if(length(as.character(unique
(dat2DadEqual$Zygosity))) == 1){
fatherZygosity<-as.character(
unique(dat2DadEqual$Zygosity)
)
}else {
fatherZygosity <- paste(
as.character(dat2DadEqual$Zygosity),
collapse = ","
)
}
} else if (length(dat2DadRange$Zygosity) > 0){
fatherzygosity <- as.character(dat2DadRange$Zygosity)
fatherZygosity1 <- gsub("-", NA, fatherzygosity)
fatherZygosity1 <- as.character(
na.omit(fatherZygosity1)
)
if(length(fatherZygosity1) == 1){
fatherZygosity<-as.character(
unique(fatherZygosity1)
)
}else {
fatherZygosity <- paste(
as.character(fatherZygosity1),
collapse = ","
)
}
}else {
fatherZygosity <- "-"
}
###Mother Zygosity
if(length(dat2MomEqual$Zygosity) > 0){
if(length(as.character(unique
(dat2MomEqual$Zygosity))) == 1){
motherZygosity<-as.character(
unique(dat2MomEqual$Zygosity)
)
}else {
motherZygosity <- paste(
as.character(dat2MomEqual$Zygosity),
collapse = ","
)
}
}else if (length(dat2MomRange$Zygosity) > 0){
motherZygosity <- as.character(dat2MomRange$Zygosity)
motherZygosity1 <- gsub("-", NA, motherZygosity)
motherZygosity1 <- as.character(
na.omit(motherZygosity1)
)
if(length(motherZygosity1) == 1){
motherZygosity<-as.character(
unique(motherZygosity1)
)
}else {
motherZygosity <- paste(
as.character(motherZygosity1),
collapse = ","
)
}
} else {
motherZygosity <- "-"
}
'if(length(homozygo)>=1){
homozygo <- length(unique(homozygo))
}
else if(length(homozygo)==1){
homozygo <- length(homozygo)
}
else{
homozygo <- 0
}'
famno <- unname(hash::values(ha2, keys = sampID))
fampas <- paste(
"^",as.character(famindexfile$Tag),"$", sep=""
)
famnopas <- paste("^",as.character(famno),"$",sep="")
famnumb <- length(grep(famnopas, fampas, fixed=TRUE))
data1 <- data.frame(dat1[nn, ],
Internal_Freq_Perc_Filtered =
as.numeric(format(round(
(filtFreq/(2*(usamp - famnumb))) * 100,digits=3)
, scientific = FALSE)),
Internal_Freq_Perc_Unfiltered =
as.numeric
(format(round((UnfilteredFrequency/
(2*(usamp - famnumb))) * 100,digits=3),
scientific = FALSE)),
Internal_Homozygotes=as.numeric(cntHomozygotes),
MotherZygosity = as.character(motherZygosity),
FatherZygosity = as.character(fatherZygosity),
stringsAsFactors = FALSE)
datf <- rbind(datf, data1)
}
else if (nrow(dat2) == 1){
# dgv_match=TRUE Calculating percentage similarity
countfre <- 0;countfreunfilt<-0
conf <- dat2$Confidence
size_internal <- dat2$Size
BSPQI_status_DB <- as.character(
dat2$Found_in_self_BSPQI_molecules)
BSSSI_status_DB <- as.character(
dat2$Found_in_self_BSSSI_molecules)
perc_query_ref <- (size1/size_internal)
perc_ref_query <- (size_internal/size1)
sv1 <- dat2$nanoID
#Found_in_SE_self_molecules <- dat2$Found_in_SE_self_molecules
Found_in_SE_self_molecules <- dat2$Found_in_SE_self_molecules
zygo <- as.character(dat2$Zygosity)
stt <- strsplit(as.character(sv1), split = "[.]")
patID1 <- stt[[1]][2]
svfamid1 <- stt[[1]][1]
motherZygosity <- ""
fatherZygosity <- ""
type <- as.character(dat2$Type)
typ1 <- as.character(dat2$Type1)
typ2 <- as.character(dat2$Type2)
homozygo<-c()
##Check for parents
if ((perc_ref_query >= perc_similarity_parents
& perc_query_ref >= perc_similarity_parents)
& identical(type, variantType2[nn])
& (identical(svfamid1, svfamid))
& ((dat2$RefStartPos >= rf_wb_int_parents[nn])
& (dat2$RefEndPos <= re_fb_int_parents[nn]))){
# Family Extra column zygosity
if (patID == 1 & patID1 == 2){
motherZygosity <- as.character(zygo)
fatherZygosity <- "-"
}
else if (patID == 1 & patID1 == 3){
motherZygosity <- "-"
fatherZygosity <- as.character(zygo)
}
else if (patID == patID1){
motherZygosity <- "-"
fatherZygosity <- "-"
}
else{
motherZygosity <- "-"
fatherZygosity <- "-"
}
}
else if ((perc_ref_query >= perc_similarity
& perc_query_ref >= perc_similarity)
& type == variantType2[nn]
& !(identical(svfamid1, svfamid))
& ((size_internal>=limsize))
& ((BSPQI_status_DB == "yes"
& BSSSI_status_DB == "yes")
| (BSPQI_status_DB == "no"
& BSSSI_status_DB == "yes")
| (BSPQI_status_DB == "yes"
& BSSSI_status_DB == "no")
| (BSPQI_status_DB == "yes"
& BSSSI_status_DB == "-")
| (BSPQI_status_DB == "-"
& BSSSI_status_DB == "yes")
| (Found_in_SE_self_molecules == "yes"))
& (conf > indelconf)
& ((typ1=="insertion" & typ2=="insertion")
| (typ1=="insertion" & is.na(typ2))
| (is.na(typ1) & typ2=="insertion")
| (typ1=="deletion" & typ2=="deletion")
| (typ1=="deletion" & is.na(typ2))
| (is.na(typ1) & typ2=="deletion")
| (typ1 == "-" & typ2 == "-" & type =="deletion")
| (typ1 == "-" & typ2 == "-" & type =="insertion")))
{
#print("not in a family")
if(as.character(zygo)=="homozygous"){
countfre <- 2
if(as.character(zygo)=="homozygous"){
homozygo<- as.character(svfamid1)
}
else{
homozygo<- NULL
}
}
else if(zygo=="unknown"){
countfre <- 2
}
else {
countfre <- 1
}
motherZygosity <- "-"
fatherZygosity <- "-"
}
else{
countfre <- 0
motherZygosity <- "-"
fatherZygosity <- "-"
}
###Unfiltered
if ((perc_ref_query >= perc_similarity
& perc_query_ref >= perc_similarity)
& identical(type, variantType2[nn])
& !(identical(svfamid1, svfamid))){
if(zygo=="homozygous"){
countfreunfilt <- 2
}
else if(zygo=="unknown"){
countfreunfilt <- 2
}
else{
countfreunfilt <- 1
}
}
else{
countfreunfilt <- 0
}
if(length(homozygo)>0){
homozygo <- length(unique(homozygo))
}
else{
homozygo=0
}
famno <- as.numeric(unname(hash::values(ha, keys = svfamid)))
data1 <- data.frame(dat1[nn, ],
Internal_Freq_Perc_Filtered =
as.numeric(format(round((countfre/(2*(usamp - famno)))
* 100,digits=3), scientific = FALSE)),
Internal_Freq_Perc_Unfiltered =
as.numeric(format
(round((countfreunfilt/(2*(usamp - famno)))
* 100,digits=3), scientific = FALSE)),
Internal_Homozygotes=as.numeric(homozygo),
MotherZygosity = as.character(motherZygosity),
FatherZygosity = as.character(fatherZygosity),
stringsAsFactors = FALSE)
datf <- rbind(datf, data1)
}
else
{
# dgv_match=FALSE
data1 <- data.frame(dat1[nn, ],
Internal_Freq_Perc_Filtered = 0,
Internal_Freq_Perc_Unfiltered = 0,
Internal_Homozygotes= 0,
MotherZygosity = "-",
FatherZygosity = "-",
stringsAsFactors = FALSE)
#### print(dim(data1)) print(names(data1)[56:58])
#### print(names(datf)[56:58])
#### print(identical((names(data1)[56]),(names(datf)[56])))
#### print(identical((names(data1)[57]),(names(datf)[57])))
#### print(identical((names(data1)[58]),(names(datf)[58])))
datf <- rbind(datf, data1)
# next;
}
} else if ((variantType2[nn] == "duplication" |
variantType2[nn] == "duplication_split" |
variantType2[nn] == "duplication_inverted" |
variantType2[nn] == "insertion"))
{
dat2 <-dat[which((dat$RefStartPos >= rf_wb_ind[nn]
& dat$RefEndPos <= re_wf_ind[nn])),]
size1 <- size_bn[nn]
## Calculating Internal Frequency
if (nrow(dat2) > 1){
dat2$perc_ref_query <- as.numeric(dat2$Size)/size1
dat2$perc_query_ref <- size1/as.numeric(dat2$Size)
stt12 <- str_split(as.character(dat2$nanoID), pattern = "\\.")
famid <- c(); relnid <- c()
dat2$FamilyID <- sapply(stt12, function(x) x[1])
dat2$RelationID <- sapply(stt12, function(x) x[2])
dat2MomEqual_duplication <- dat2[which((
(dat2$RefStartPos ==rf[nn])
& (dat2$RefEndPos==re[nn]))
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 2)
& ((as.character(dat2$Type) == "duplication") |
(as.character(dat2$Type) == "duplication_split") |
(as.character(dat2$Type) == "duplication_inverted")
)),]
dat2DadEqual_duplication <- dat2[which((
(dat2$RefStartPos ==rf[nn])
& (dat2$RefEndPos==re[nn]))
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1
& dat2$RelationID == 3)
& ((as.character(dat2$Type) == "duplication") |
(as.character(dat2$Type) == "duplication_split") |
(as.character(dat2$Type) == "duplication_inverted")
)),]
dat2MomRange_duplication <- dat2[which(((
dat2$RefStartPos >= rf_wb_ind_parents[nn])
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (dat2$RefEndPos <= re_wf_ind_parents[nn]))
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 2)
& ((as.character(dat2$Type) == "duplication")
| (as.character(dat2$Type) == "duplication_split")
| (as.character(dat2$Type) == "duplication_inverted")
)),]
dat2DadRange_duplication <- dat2[which(((
dat2$RefStartPos >= rf_wb_ind_parents[nn])
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (dat2$RefEndPos <= re_wf_ind_parents[nn]))
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 3)
& ((as.character(dat2$Type) == "duplication")
| (as.character(dat2$Type) == "duplication_split")
| (as.character(dat2$Type) == "duplication_inverted")
)),]
dat2MomEqual_insertion <- dat2[which(
((dat2$RefStartPos ==rf[nn])
& (dat2$RefEndPos==re[nn]))
& (as.character(dat2$Type) == variantType2[nn])
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 2)
& ((as.character(dat2$Type) == "insertion")
)),]
dat2DadEqual_insertion <- dat2[which(
((dat2$RefStartPos ==rf[nn])
& (dat2$RefEndPos==re[nn]))
& (as.character(dat2$Type) == variantType2[nn])
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 3)
& ((as.character(dat2$Type) == "insertion")
)),]
dat2MomRange_insertion <- dat2[which(((
dat2$RefStartPos >= rf_wb_ind_parents[nn])
& (dat2$RefEndPos <= re_wf_ind_parents[nn]))
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 2)
& ((as.character(dat2$Type) == "insertion")
)),]
dat2DadRange_insertion <- dat2[which(((
dat2$RefStartPos >= rf_wb_ind_parents[nn])
& (dat2$RefEndPos <= re_wf_ind_parents[nn]))
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 3)
& ((as.character(dat2$Type) == "insertion")
)),]
dat2FrequencyDuplication <- dat2[which(((
as.character(dat2$Type) == "duplication") |
(as.character(dat2$Type) == "duplication_split") |
(as.character(dat2$Type) == "duplication_inverted"))
& (dat2$perc_ref_query >= perc_similarity
& dat2$perc_query_ref >= perc_similarity)
& (as.character(dat2$FamilyID) != svfamid)
&((dat2$Found_in_self_BSPQI_molecules == "yes" &
dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_self_BSPQI_molecules == "no"
& dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_self_BSPQI_molecules == "yes"
& dat2$Found_in_self_BSSSI_molecules == "no")
| (dat2$Found_in_self_BSPQI_molecules == "yes"
& dat2$Found_in_self_BSSSI_molecules == "-")
| (dat2$Found_in_self_BSPQI_molecules == "-"
& dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_SE_self_molecules == "yes"))
& ((dat2$Type1 =="duplication" &
dat2$Type2 =="duplication") |
(dat2$Type1 =="duplication"
& is.na(dat2$Type2)) |
(is.na(dat2$Type1) & dat2$Type2 =="duplication")
| (dat2$Type1 == "duplication_split"
& dat2$Type2 == "duplication_split") |
(dat2$Type1 == "duplication_split"
& is.na(dat2$Type2)) |
(is.na(dat2$Type1)
& dat2$Type2 =="duplication_split")
| (dat2$Type1 == "duplication_inverted"
& dat2$Type2 == "duplication_inverted")
|(dat2$Type1 == "duplication_inverted"
& is.na(dat2$Type2)) |
(is.na(dat2$Type1)
& dat2$Type2 =="duplication_inverted")
| (dat2$Type1 == "-" & dat2$Type2 == "-"
& dat2$Type == "duplication_inverted")
| (dat2$Type1 == "-" & dat2$Type2 == "-"
& dat2$Type == "duplication")
| (dat2$Type1 == "-" & dat2$Type2 == "-"
& dat2$Type == "duplication_split"))
& ((dat2$Fail_BSPQI_assembly_chimeric_score == "pass" &
dat2$Fail_BSSSI_assembly_chimeric_score == "pass")
| (dat2$Fail_BSPQI_assembly_chimeric_score == "fail"
& dat2$Fail_BSSSI_assembly_chimeric_score == "pass")
| (dat2$Fail_BSPQI_assembly_chimeric_score == "pass"
& dat2$Fail_BSSSI_assembly_chimeric_score == "fail")
| (dat2$Fail_BSPQI_assembly_chimeric_score == "pass"
& dat2$Fail_BSSSI_assembly_chimeric_score == "-")
| (dat2$Fail_BSPQI_assembly_chimeric_score == "-"
& dat2$Fail_BSSSI_assembly_chimeric_score == "pass")
|(dat2$Fail_assembly_chimeric_score_SE == "pass"))),]
# dat2FrequencyDuplication <- subset(dat2,(((as.character(dat2$Type) == "duplication") |
dat2Insertion <- dat2[which((
dat2$perc_ref_query >= perc_similarity
& dat2$perc_query_ref >= perc_similarity)
& (dat2$Size >= limsize)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) != svfamid)
& (dat2$Confidence >= indelconf)
& ((dat2$Found_in_self_BSPQI_molecules == "yes"
& dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_self_BSPQI_molecules == "no"
& dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_self_BSPQI_molecules == "yes"
& dat2$Found_in_self_BSSSI_molecules == "no")
| (dat2$Found_in_self_BSPQI_molecules == "yes"
& dat2$Found_in_self_BSSSI_molecules == "-")
| (dat2$Found_in_self_BSPQI_molecules == "-"
& dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_SE_self_molecules == "yes"))
& ((dat2$Type1 =="insertion" & dat2$Type2 =="insertion")
| (dat2$Type1 =="insertion" & is.na(dat2$Type2))
| (is.na(dat2$Type1) & dat2$Type2 =="insertion")
| (dat2$Type1 == "-"
& dat2$Type2 == "-" & dat2$Type == "insertion")
| (dat2$Type == "insertion"))),]
dat2UnfilteredFrequency <- dat2[which(((
as.character(dat2$Type) == "duplication") |
(as.character(dat2$Type) == "duplication_split") |
(as.character(dat2$Type) == "duplication_inverted") |
(as.character(dat2$Type) == "insertion"))
& (dat2$perc_ref_query >= perc_similarity
& dat2$perc_query_ref >= perc_similarity)
& (as.character(dat2$FamilyID) != svfamid)),]
if (nrow(dat2FrequencyDuplication) > 0 &
nrow(dat2Insertion) > 0){
dat2Frequency <- rbind(
dat2FrequencyDuplication, dat2Insertion
)
}
else if(nrow(dat2FrequencyDuplication) > 0 &
nrow(dat2Insertion) == 0){
dat2Frequency <- dat2FrequencyDuplication
}
else if(nrow(dat2FrequencyDuplication) == 0 &
nrow(dat2Insertion) > 0){
dat2Frequency <- dat2Insertion
}
else{dat2Frequency <- c()}
##Calculating filtered Frequency INDEL
##Filtration
##Filtered
if (is.null(dat2Frequency)){
filtFreq = 0
cntHomozygotes = 0
}
else if (nrow(dat2Frequency) > 0){
countfre1 <- 0
dat2Homozygotes <- data.frame(dat2Frequency
%>% mutate(Homozygo = .data$Zygosity=="homozygous")
%>% group_by(.data$nanoID)
%>% summarise (Homozygotes = sum(.data$Homozygo)))
cntHomozygotes <- sum(dat2Homozygotes$Homozygo)
dat2Homozygotes [,2] <- ifelse(
dat2Homozygotes[,2] > 0, 2, 0
)
dat2Heterozygotes <- data.frame(dat2Frequency
%>% mutate(Heterozygo = .data$Zygosity == "heterozygous")
%>% group_by(.data$nanoID)
%>% summarise (Heterozygotes = sum(.data$Heterozygo)))
dat2Heterozygotes [,2] <- ifelse(
dat2Heterozygotes[,2] > 0, 1, 0
)
dat2Unknown <- data.frame(dat2Frequency
%>% mutate(Unknown = .data$Zygosity == "unknown")
%>% group_by(.data$nanoID)
%>% summarise (Unknown = sum(.data$Unknown)))
dat2Unknown [,2] <- ifelse(
dat2Unknown[,2] > 0, 2, 0
)
dat2filtFreq <- data.frame(
NR = dat2Homozygotes[,1],
Homozygote = dat2Homozygotes[,2],
Heterozygotes = dat2Heterozygotes[,2],
Unknown = dat2Unknown[,2])
row.names(dat2filtFreq) <- as.character(
dat2Homozygotes[,1]
)
dat2filtFreq$RowSum <- ifelse((
dat2filtFreq$Heterozygotes ==1
& (dat2filtFreq$Homozygote == 0
& dat2filtFreq$Unknown == 0)), 1, 2)
filtFreq <- sum(dat2filtFreq$RowSum)
} else{
filtFreq = 0
cntHomozygotes = 0
}
###Unfiltered
if (is.null(dat2UnfilteredFrequency)){
filtFreq = 0
cntHomozygotes = 0
}
else if (nrow(dat2UnfilteredFrequency) > 0){
dat2Homozygotes <- data.frame(dat2UnfilteredFrequency
%>% mutate(Homozygo=.data$Zygosity=="homozygous")
%>% group_by(.data$nanoID)
%>% summarise (Homozygotes = sum(.data$Homozygo)))
#cntHomozygotes <- sum(dat2Homozygotes$Homozygotes)
dat2Homozygotes [,2] <- ifelse(
dat2Homozygotes[,2] > 0, 2, 0
)
dat2Heterozygotes <- data.frame(
dat2UnfilteredFrequency
%>% mutate(
Heterozygo = .data$Zygosity == "heterozygous"
)
%>% group_by(.data$nanoID)
%>% summarise (Heterozygotes = sum(.data$Heterozygo))
)
dat2Heterozygotes [,2] <- ifelse(
dat2Heterozygotes[,2] > 0, 1, 0
)
dat2Unknown <- data.frame(
dat2UnfilteredFrequency
%>% mutate(Unknown = .data$Zygosity == "unknown")
%>% group_by(.data$nanoID)
%>% summarise (Unknown = sum(.data$Unknown)))
dat2Unknown [,2] <- ifelse(
dat2Unknown[, 2] > 0, 2, 0
)
dat2unfiltFreq <- data.frame(
Homozygote = dat2Homozygotes[,2],
Heterozygotes = dat2Heterozygotes[,2],
Unknown = dat2Unknown[,2]
)
row.names(dat2unfiltFreq) <- as.character(
dat2Homozygotes[,1]
)
dat2unfiltFreq$RowSum <- ifelse(
(dat2unfiltFreq$Heterozygotes ==1
& (dat2unfiltFreq$Homozygote == 0
& dat2unfiltFreq$Unknown == 0)), 1, 2)
UnfilteredFrequency = sum(dat2unfiltFreq$RowSum)
} else{
UnfilteredFrequency = 0
}
dat2DadEqual <- rbind(dat2DadEqual_duplication, dat2DadEqual_insertion)
dat2MomEqual <- rbind(dat2MomEqual_duplication, dat2MomEqual_insertion)
dat2DadRange <- rbind(dat2DadRange_duplication, dat2DadRange_insertion)
dat2MomRange <- rbind(dat2MomRange_duplication, dat2MomRange_insertion)
##Calculating filtered Frequency INDEL
##Zygosity Parent
if(length(dat2DadEqual$Zygosity) > 0){
if(length(as.character(unique
(dat2DadEqual$Zygosity))) == 1){
fatherZygosity<-as.character(
unique(dat2DadEqual$Zygosity)
)
}else {
fatherZygosity <- paste(
as.character(dat2DadEqual$Zygosity),
collapse = ","
)
}
} else if (length(dat2DadRange$Zygosity) > 0){
fatherzygosity <- as.character(dat2DadRange$Zygosity)
fatherZygosity1 <- gsub("-", NA, fatherzygosity)
fatherZygosity1 <- as.character(
na.omit(fatherZygosity1)
)
if(length(fatherZygosity1) == 1){
fatherZygosity<-as.character(
unique(fatherZygosity1)
)
}
else {
fatherZygosity <- paste(
as.character(fatherZygosity1),
collapse = ","
)
}
} else {
fatherZygosity <- "-"
}
###Mother Zygosity
if(length(dat2MomEqual$Zygosity) > 0){
if(length(as.character(unique
(dat2MomEqual$Zygosity))) == 1){
motherZygosity<-as.character(
unique(dat2MomEqual$Zygosity)
)
}else {
motherZygosity <- paste(
as.character(dat2MomEqual$Zygosity),
collapse = ","
)
}
} else if (length(dat2MomRange$Zygosity) > 0){
motherZygosity <- as.character(dat2MomRange$Zygosity)
motherZygosity1 <- gsub("-", NA, motherZygosity)
motherZygosity1 <- as.character(
na.omit(motherZygosity1)
)
if(length(motherZygosity1) == 1){
motherZygosity<-as.character(
unique(motherZygosity1)
)
}
else {
motherZygosity <- paste(
as.character(motherZygosity1),
collapse = ","
)
}
} else {
motherZygosity <- "-"
}
famno <- unname(hash::values(ha2, keys = sampID))
fampas <- paste("^",as.character(
famindexfile$Tag),"$",sep=""
)
famnopas <- paste("^",as.character(famno),"$",sep="")
famnumb <- length(grep(famnopas, fampas, fixed=TRUE))
data1 <- data.frame(dat1[nn, ],
Internal_Freq_Perc_Filtered =
as.numeric(format(round(
(filtFreq/(2*(usamp - famnumb))) * 100,digits=3)
, scientific = FALSE)),
Internal_Freq_Perc_Unfiltered =
as.numeric
(format(round((UnfilteredFrequency/
(2*(usamp - famnumb))) * 100,digits=3),
scientific = FALSE)),
Internal_Homozygotes=as.numeric(cntHomozygotes),
MotherZygosity = as.character(motherZygosity),
FatherZygosity = as.character(fatherZygosity),
stringsAsFactors = FALSE)
datf <- rbind(datf, data1)
}
else if (nrow(dat2) == 1){
# dgv_match=TRUE Calculating percentage similarity
countfre <- 0;countfreunfilt<-0
svv <- dat2$nanoID
#size_internal <- dat2$Size
conf <- dat2$Confidence
#Found_in_SE_self_molecules <- dat2$Found_in_SE_self_molecules
#dat2$Fail_assembly_chimeric_score_SE_DLE <- dat2$dat2$Fail_assembly_chimeric_score_SE_DLE
BSPQI_status_DB <-
as.character(dat2$Found_in_self_BSPQI_molecules)
BSSSI_status_DB <-
as.character(dat2$Found_in_self_BSSSI_molecules)
BSPQI_chimeric_score_DB <- as.character(
dat2$Fail_BSPQI_assembly_chimeric_score
)
BSSSI_chimeric_score_DB <- as.character(
dat2$Fail_BSSSI_assembly_chimeric_score
)
Found_in_SE_self_molecules <- dat2$Found_in_SE_self_molecules
Fail_assembly_chimeric_score_SE <- dat2$Fail_assembly_chimeric_score_SE
perc_ref_query <- as.numeric(dat2$Size)/size1
perc_query_ref <- size1/as.numeric(dat2$Size)
#svv <- strsplit(as.character(svfam1), split = "_")
zygo <- as.character(dat2$Zygosity)
stt <- strsplit(as.character(svv), split = "[.]")
patID1 <- stt[[1]][2]
homozygo<-c()
svfamid1 <- stt[[1]][1]
motherZygosity <- ""
fatherZygosity <- ""
type <- as.character(dat2$Type)
typ1 <- as.character(dat2$Type1)
typ2 <- as.character(dat2$Type2)
#print(type)
if (((dat2$RefStartPos >= rf_wb_int_parents[nn])
& (dat2$RefEndPos <= re_fb_int_parents[nn]))
& ((identical(type, "duplication")
| identical(type, "duplication_split")|
identical(type, "duplication_inverted")))
& (perc_ref_query >= perc_similarity_parents
& perc_query_ref >= perc_similarity_parents)
& (identical(svfamid1, svfamid)) )
{
'print(type)
print(svfamid1)
print(svfamid)
print(BSPQI_status_DB)
print(BSSSI_status_DB)
print(paste(ii,":",nn))'
# Family Extra column zygosity
if (patID == 1 & patID1 == 2){
motherZygosity <- as.character(zygo)
fatherZygosity <- "-"
}
else if (patID == 1 & patID1 == 3){
motherZygosity <- "-"
fatherZygosity <- as.character(zygo)
}
else if (patID == patID1){
motherZygosity <- "-"
fatherZygosity <- "-"
}
else{
motherZygosity <- "-"
fatherZygosity <- "-"
}
}
else if (((identical(type, "duplication")
| identical(type, "duplication_split")
| identical(type, "duplication_inverted")))
& (perc_ref_query >= perc_similarity
& perc_query_ref >= perc_similarity)
& !(identical(svfamid1, svfamid))
& ((BSPQI_status_DB == "yes"
& BSSSI_status_DB == "yes")
| (BSPQI_status_DB == "no"
& BSSSI_status_DB == "yes")
| (BSPQI_status_DB == "yes"
& BSSSI_status_DB == "no")
| (BSPQI_status_DB == "yes"
& BSSSI_status_DB == "-")
| (BSPQI_status_DB == "-"
& BSSSI_status_DB == "yes")
| (Found_in_SE_self_molecules == "yes"))
& ((BSPQI_chimeric_score_DB == "pass"
& BSSSI_chimeric_score_DB == "pass")
| (BSPQI_chimeric_score_DB == "fail"
& BSSSI_chimeric_score_DB == "pass")
| (BSPQI_chimeric_score_DB == "pass"
& BSSSI_chimeric_score_DB == "fail")
| (BSPQI_chimeric_score_DB == "pass"
& BSSSI_chimeric_score_DB == "-")
| (BSPQI_chimeric_score_DB == "-"
& BSSSI_chimeric_score_DB == "pass")
| (Fail_assembly_chimeric_score_SE == "pass"))
& ((typ1=="duplication" & typ2=="duplication")
| (typ1=="duplication" & is.na(typ2))
| (is.na(typ1) & typ2=="duplication")
| (typ1=="duplication_split"
& typ2=="duplication_split")
| (typ1=="duplication_split" & is.na(typ2))
| (is.na(typ1) & typ2=="duplication_split")
| (typ1=="duplication_inverted"
& typ2=="duplication_inverted")
| (typ1=="duplication_inverted" & is.na(typ2))
| (is.na(typ1) & typ2=="duplication_inverted")
| (typ1=="-" & typ2=="-" & type == "duplication")
| (typ1=="-" & typ2=="-"
& type == "duplication_inverted")
| (typ1=="-" & typ2=="-"
& type == "duplication_split"))){
if(zygo=="homozygous"){
countfre <- 2
}
else if(zygo=="unknown"){
countfre <- 2
}
else{
countfre <- 1
}
if(as.character(zygo)=="homozygous"){
homozygo <- as.character(svfamid1)
}
else{
homozygo<- NULL
}
motherZygosity <- "-"
fatherZygosity <- "-"
'motherZygosity <- "-"
fatherZygosity <- "-"'
}
else if (((identical(type, "insertion"))) &
(identical(svfamid1, svfamid)) &
((dat2$RefStartPos >= rf_wb_int_parents[nn]) &
(dat2$RefEndPos <= re_fb_int_parents[nn]))
& (perc_ref_query >= perc_similarity_parents
& perc_query_ref >= perc_similarity_parents)){
# Family Extra column zygosity
if (patID == 1 & patID1 == 2){
motherZygosity <- as.character(zygo)
fatherZygosity <- "-"
}
else if (patID == 1 & patID1 == 3){
motherZygosity <- "-"
fatherZygosity <- as.character(zygo)
}
else if (patID == patID1){
motherZygosity <- "-"
fatherZygosity <- "-"
}
else {
motherZygosity <- "-"
fatherZygosity <- "-"
}
}
else if (((identical(type, "insertion"))) &
!(identical(svfamid1, svfamid))
& (perc_ref_query >= perc_similarity
& perc_query_ref >= perc_similarity)
& ((BSPQI_status_DB == "yes" &
BSSSI_status_DB == "yes") |
(BSPQI_status_DB == "no" &
BSSSI_status_DB == "yes") |
(BSPQI_status_DB == "yes" &
BSSSI_status_DB == "no") |
(BSPQI_status_DB == "yes" &
BSSSI_status_DB == "-") |
(BSPQI_status_DB == "-" &
BSSSI_status_DB == "yes")
| (Found_in_SE_self_molecules == "yes")) &
((size_internal>=limsize)) &
(conf > indelconf) &
((typ1=="insertion" & typ2=="insertion") |
(typ1=="insertion" & is.na(typ2)) |
(is.na(typ1) & typ2=="insertion")
| (typ1=="-" & typ2=="-" & type == "insertion"))){
if(zygo=="homozygous"){
countfre <- 2
}
else if(zygo=="unknown"){
countfre <- 2
}
else{
countfre <- 1
}
if(as.character(zygo)=="homozygous"){
homozygo <- as.character(svfamid1)
}
else{
homozygo <- NULL
}
motherZygosity <- "-"
fatherZygosity <- "-"
}
else {
countfre <- 0
motherZygosity <- "-"
fatherZygosity <- "-"
}
if (((identical(type, "duplication") |
identical(type, "duplication_split")|
identical(type, "duplication_inverted")|
identical(type, "insertion")))
& (perc_ref_query >= perc_similarity
& perc_query_ref >= perc_similarity)
& !(identical(svfamid1, svfamid))){
if(zygo=="homozygous"){
countfreunfilt <- 2
}
else if(zygo=="unknown"){
countfreunfilt <- 2
}
else{
countfreunfilt <- 1
}
}
else{
countfreunfilt <- 0
}
if(length(homozygo)>0){
homozygo <- length(homozygo)
}
else{
homozygo= 0
}
famno <- as.numeric(unname(hash::values(ha, keys = svfamid)
))
data1 <- data.frame(dat1[nn, ],
Internal_Freq_Perc_Filtered =
as.numeric(format(round((countfre/(2*(usamp - famno)))
* 100,digits=3), scientific = FALSE)),
Internal_Freq_Perc_Unfiltered = as.numeric(format(round((
countfreunfilt/(2*(usamp - famno))) * 100,digits=3), scientific = FALSE)),
Internal_Homozygotes=as.numeric(homozygo),
MotherZygosity = as.character(motherZygosity),
FatherZygosity = as.character(fatherZygosity),
stringsAsFactors = FALSE)
datf <- rbind(datf, data1)
}
else
{
# dgv_match=FALSE
data1 <- data.frame(dat1[nn, ],
Internal_Freq_Perc_Filtered = 0,
Internal_Freq_Perc_Unfiltered = 0,
Internal_Homozygotes= 0,
MotherZygosity = "-",
FatherZygosity = "-",
stringsAsFactors = FALSE)
#### print(dim(data1)) print(names(data1)[56:58])
#### print(names(datf)[56:58])
#### print(identical((names(data1)[56]),(names(datf)[56])))
#### print(identical((names(data1)[57]),(names(datf)[57])))
#### print(identical((names(data1)[58]),(names(datf)[58])))
datf <- rbind(datf, data1)
# next;
}
}
else if ((length(grep("inversion", variantType2[nn])) >= 1) |
(length(grep("translocation", variantType2[nn])) >= 1)) {
if((length(grep("translocation", variantType2[nn])) >= 1)){
dat2 <- dat[which(((dat$RefStartPos <= rf[nn] &
dat$RefStartPos >= rf_wb_ind[nn]) |
(dat$RefStartPos >= rf[nn] & dat$RefStartPos <=
rf_fb_ind[nn])) & ((dat$RefEndPos >= re[nn] &
dat$RefEndPos <= re_wf_ind[nn]) |
(dat$RefEndPos <= re[nn] & dat$RefEndPos >= re_wb_ind[nn]))
), ]
size1 <- size_bn[nn]
dat2$perc_ref_query <- rep(0, nrow(dat2))
dat2$perc_query_ref <- rep(0, nrow(dat2))
}else {
dat2 <-dat[which((dat$RefStartPos >= rf_wb_ind[nn]
& dat$RefEndPos <= re_wf_ind[nn])),]
size1 <- size_bn[nn]
## Calculating Internal Frequency
dat2$perc_ref_query <- as.numeric(dat2$Size)/size1
dat2$perc_query_ref <- size1/as.numeric(dat2$Size)
}
## Writing if the dgv_match is TRUE or not
if (nrow(dat2) > 1){
#dat2$perc <- as.numeric(dat2$Size)/size1
stt12 <- str_split(as.character(dat2$nanoID), pattern = "\\.")
famid <- c(); relnid <- c()
dat2$FamilyID <- sapply(stt12, function(x) x[1])
dat2$RelationID <- sapply(stt12, function(x) x[2])
if((length(grep("inversion", variantType2[nn])) >= 1)){
dat2MomEqual <- dat2[which(((dat2$RefStartPos ==rf[nn])
& (dat2$RefEndPos==re[nn]))
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (dat2$RefcontigID2 == chromo2[nn])
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 2)),]
dat2DadEqual <- dat2[which(((dat2$RefStartPos ==rf[nn])
& (dat2$RefEndPos==re[nn]))
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (dat2$RefcontigID2 == chromo2[nn])
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 3)),]
dat2MomRange <- dat2[which(((
dat2$RefStartPos >= rf_wb_int_parents[nn])
& (dat2$RefEndPos <= re_fb_int_parents[nn]))
& (dat2$RefcontigID2 == chromo2[nn])
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 2)),]
dat2DadRange <- dat2[which(((
dat2$RefStartPos >= rf_wb_int_parents[nn])
& (dat2$RefEndPos <= re_fb_int_parents[nn]))
& (dat2$RefcontigID2 == chromo2[nn])
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 3)),]
dat2UnfilteredFrequency <- dat2[which((
(dat2$RefcontigID2 == chromo2[nn])
& (dat2$perc_ref_query >= perc_similarity
& dat2$perc_query_ref >= perc_similarity)
& ((as.character(dat2$Type) == "inversion")
& (as.character(dat2$FamilyID) != svfamid)))),]
}else{
dat2MomEqual <- dat2[which(((dat2$RefStartPos ==rf[nn])
& (dat2$RefEndPos==re[nn]))
& (dat2$RefcontigID2 == chromo2[nn])
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 2)),]
dat2DadEqual <- dat2[which(((dat2$RefStartPos ==rf[nn])
& (dat2$RefEndPos==re[nn]))
& (dat2$RefcontigID2 == chromo2[nn])
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 3)),]
dat2MomRange <- dat2[which(((
dat2$RefStartPos >= rf_wb_int_parents[nn])
& (dat2$RefEndPos <= re_fb_int_parents[nn]))
& (dat2$RefcontigID2 == chromo2[nn])
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 2)),]
dat2DadRange <- dat2[which(((
dat2$RefStartPos >= rf_wb_int_parents[nn])
& (dat2$RefEndPos <= re_fb_int_parents[nn]))
& (dat2$RefcontigID2 == chromo2[nn])
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 3)),]
dat2UnfilteredFrequency <- dat2[which((
(dat2$RefcontigID2 == chromo2[nn])
& ((as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) != svfamid)))),]
}
dat2Frequencyinvtrans <- dat2[which(((
as.character(dat2$Type) == "inversion" &
as.numeric(dat2$Confidence) >= invconf
& (dat2$perc_ref_query >= perc_similarity
& dat2$perc_query_ref >= perc_similarity)
& ((dat2$Type1 =="inversion" & dat2$Type2 =="inversion")
| (dat2$Type1 =="inversion" & is.na(dat2$Type2))
| (is.na(dat2$Type1) & dat2$Type2 =="inversion")
| (dat2$Type1 == "-"
& dat2$Type2 == "-" & dat2$Type == "inversion")))|
((as.character(dat2$Type) == "translocation_intrachr"
| as.character(dat2$Type) == "translocation_interchr"
| as.character(dat2$Type) == "translocation")
& (as.numeric(dat2$Confidence) >= transconf)
& ((dat2$Type1 =="translocation" &
dat2$Type2 =="translocation") |
(dat2$Type1 =="translocation"
& is.na(dat2$Type2)) |
(is.na(dat2$Type1) & dat2$Type2 =="translocation")
| (dat2$Type1 == "translocation_intrachr"
& dat2$Type2 == "translocation_intrachr") |
(dat2$Type1 == "translocation_intrachr"
& is.na(dat2$Type2)) |
(is.na(dat2$Type1)
& dat2$Type2 =="translocation_intrachr")
| (dat2$Type1 == "translocation_interchr"
& dat2$Type2 == "translocation_interchr")
|(dat2$Type1 == "translocation_interchr"
& is.na(dat2$Type2)) |
(is.na(dat2$Type1)
& dat2$Type2 =="translocation_interchr")
| (dat2$Type1 == "-" & dat2$Type2 == "-"
& dat2$Type == "translocation_interchr")
| (dat2$Type1 == "-" & dat2$Type2 == "-"
& dat2$Type == "translocation")
| (dat2$Type1 == "-" & dat2$Type2 == "-"
& dat2$Type == "translocation_intrachr"))))
& (as.character(dat2$FamilyID) != svfamid)
& (dat2$RefcontigID2 == chromo2[nn])
&((dat2$Found_in_self_BSPQI_molecules == "yes" &
dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_self_BSPQI_molecules == "no"
& dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_self_BSPQI_molecules == "yes"
& dat2$Found_in_self_BSSSI_molecules == "no")
| (dat2$Found_in_self_BSPQI_molecules == "yes"
& dat2$Found_in_self_BSSSI_molecules == "-")
| (dat2$Found_in_self_BSPQI_molecules == "-"
& dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_SE_self_molecules == "yes"))
& ((dat2$Fail_BSPQI_assembly_chimeric_score == "pass"
& dat2$Fail_BSSSI_assembly_chimeric_score == "pass")
| (dat2$Fail_BSPQI_assembly_chimeric_score == "fail"
& dat2$Fail_BSSSI_assembly_chimeric_score == "pass")
| (dat2$Fail_BSPQI_assembly_chimeric_score == "pass"
& dat2$Fail_BSSSI_assembly_chimeric_score == "fail")
| (dat2$Fail_BSPQI_assembly_chimeric_score == "pass"
& dat2$Fail_BSSSI_assembly_chimeric_score == "-")
| (dat2$Fail_BSPQI_assembly_chimeric_score == "-"
& dat2$Fail_BSSSI_assembly_chimeric_score == "pass")
| (dat2$Fail_assembly_chimeric_score_SE == "pass"))),]
dat2Frequency <- dat2Frequencyinvtrans
##Filtered
if (is.null(dat2Frequency)){
filtFreq = 0
cntHomozygotes = 0
}
else if (nrow(dat2Frequency) > 0){
#print(0)
countfre1 <- 0
dat2Homozygotes <- data.frame(dat2Frequency
%>% mutate(Homozygo = .data$Zygosity=="homozygous")
%>% group_by(.data$nanoID)
%>% summarise (Homozygotes = sum(.data$Homozygo)))
cntHomozygotes <- sum(dat2Homozygotes$Homozygo)
dat2Homozygotes [,2] <- ifelse(
dat2Homozygotes[,2] > 0, 2, 0
)
dat2Heterozygotes <- data.frame(dat2Frequency
%>% mutate(Heterozygo = .data$Zygosity == "heterozygous")
%>% group_by(.data$nanoID)
%>% summarise (Heterozygotes = sum(.data$Heterozygo)))
dat2Heterozygotes [,2] <- ifelse(
dat2Heterozygotes[,2] > 0, 1, 0
)
dat2Unknown <- data.frame(dat2Frequency
%>% mutate(Unknown = .data$Zygosity == "unknown")
%>% group_by(.data$nanoID)
%>% summarise (Unknown = sum(.data$Unknown)))
dat2Unknown [,2] <- ifelse(
dat2Unknown[,2] > 0, 2, 0
)
dat2filtFreq <- data.frame(
NR = dat2Homozygotes[,1],
Homozygote = dat2Homozygotes[,2],
Heterozygotes = dat2Heterozygotes[,2],
Unknown = dat2Unknown[,2]
)
row.names(dat2filtFreq) <- as.character(
dat2Homozygotes[,1]
)
dat2filtFreq$RowSum <- ifelse((
dat2filtFreq$Heterozygotes ==1
& (dat2filtFreq$Homozygote == 0
& dat2filtFreq$Unknown == 0)), 1, 2)
filtFreq <- sum(dat2filtFreq$RowSum)
} else{
filtFreq = 0
cntHomozygotes = 0
}
###Unfiltered
if (is.null(dat2UnfilteredFrequency)){
filtFreq = 0
cntHomozygotes = 0
}
else if (nrow(dat2UnfilteredFrequency) > 0){
dat2Homozygotes <- data.frame(dat2UnfilteredFrequency
%>% mutate(Homozygo=.data$Zygosity=="homozygous")
%>% group_by(.data$nanoID)
%>% summarise (Homozygotes = sum(.data$Homozygo)))
#cntHomozygotes <- sum(dat2Homozygotes$Homozygotes)
dat2Homozygotes [,2] <- ifelse(
dat2Homozygotes[,2] > 0, 2, 0
)
dat2Heterozygotes <- data.frame(
dat2UnfilteredFrequency
%>% mutate(
Heterozygo = .data$Zygosity == "heterozygous"
)
%>% group_by(.data$nanoID)
%>% summarise (Heterozygotes = sum(.data$Heterozygo))
)
dat2Heterozygotes [,2] <- ifelse(
dat2Heterozygotes[,2] > 0, 1, 0
)
dat2Unknown <- data.frame(
dat2UnfilteredFrequency
%>% mutate(Unknown = .data$Zygosity == "unknown")
%>% group_by(.data$nanoID)
%>% summarise (Unknown = sum(.data$Unknown))
)
dat2Unknown [,2] <- ifelse(
dat2Unknown[, 2] > 0, 2, 0
)
dat2unfiltFreq <- data.frame(
Homozygote = dat2Homozygotes[,2],
Heterozygotes = dat2Heterozygotes[,2],
Unknown = dat2Unknown[,2])
row.names(dat2unfiltFreq) <- as.character(dat2Homozygotes[,1])
dat2unfiltFreq$RowSum <- ifelse((
dat2unfiltFreq$Heterozygotes ==1
& (dat2unfiltFreq$Homozygote == 0
& dat2unfiltFreq$Unknown == 0)), 1, 2)
UnfilteredFrequency = sum(dat2unfiltFreq$RowSum)
} else{
UnfilteredFrequency = 0
}
##Calculating filtered Frequency INDEL
##Zygosity Parent
if(length(dat2DadEqual$Zygosity) > 0){
if(length(as.character(unique
(dat2DadEqual$Zygosity))) == 1){
fatherZygosity<-as.character(
unique(dat2DadEqual$Zygosity)
)
}else {
fatherZygosity <- paste(
as.character(dat2DadEqual$Zygosity),
collapse = ","
)
}
} else if (length(dat2DadRange$Zygosity) > 0){
fatherzygosity <- as.character(dat2DadRange$Zygosity)
fatherZygosity1 <- gsub("-", NA, fatherzygosity)
fatherZygosity1 <- as.character(
na.omit(fatherZygosity1)
)
if(length(fatherZygosity1) == 1){
fatherZygosity<-as.character(
unique(fatherZygosity1)
)
}
else {
fatherZygosity <- paste(
as.character(fatherZygosity1),
collapse = ","
)
}
} else {
fatherZygosity <- "-"
}
###Mother Zygosity
if(length(dat2MomEqual$Zygosity) > 0){
if(length(as.character(unique
(dat2MomEqual$Zygosity))) == 1){
motherZygosity<-as.character(unique(
dat2MomEqual$Zygosity)
)
}else {
motherZygosity <- paste(
as.character(dat2MomEqual$Zygosity),
collapse = ","
)
}
} else if (length(dat2MomRange$Zygosity) > 0){
motherZygosity <- as.character(dat2MomRange$Zygosity)
motherZygosity1 <- gsub("-", NA, motherZygosity)
motherZygosity1 <- as.character(
na.omit(motherZygosity1)
)
if(length(motherZygosity1) == 1){
motherZygosity<-as.character(
unique(motherZygosity1)
)
}
else {
motherZygosity <- paste(
as.character(motherZygosity1),
collapse = ","
)
}
} else {
motherZygosity <- "-"
}
famno <- unname(hash::values(ha2, keys = sampID))
fampas <- paste("^",as.character(famindexfile$Tag),"$",
sep="")
famnopas <- paste("^",as.character(famno),"$",sep="")
famnumb <- length(grep(famnopas, fampas, fixed=TRUE))
data1 <- data.frame(dat1[nn, ],
Internal_Freq_Perc_Filtered =
as.numeric(format(round(
(filtFreq/(2*(usamp - famnumb))) * 100,digits=3) , scientific = FALSE)),
Internal_Freq_Perc_Unfiltered = as.numeric(format(round((
UnfilteredFrequency/(2*(usamp - famnumb))) * 100,digits=3),
scientific = FALSE)),
Internal_Homozygotes=as.numeric(cntHomozygotes),
MotherZygosity = as.character(motherZygosity),
FatherZygosity = as.character(fatherZygosity),
stringsAsFactors = FALSE)
datf <- rbind(datf, data1)
}
else if (nrow(dat2) == 1)
{
## dgv_match=TRUE Calculating percentage similarity
countfre<-0;countfreunfilt<-0
chrom2<-dat2$RefcontigID2
svv <- dat2$nanoID
zygo <- as.character(dat2$Zygosity)
stt <- strsplit(as.character(svv), split = "[.]")
type <- as.character(dat2$Type)
typ1 <- as.character(dat2$Type1)
typ2 <- as.character(dat2$Type2)
patID1 <- stt[[1]][2]
svfamid1 <- stt[[1]][1]
conf <- dat2$Confidence
perc_ref_query <- dat2$perc_ref_query
perc_query_ref <- dat2$perc_query_ref
homozygo<-c()
#dat2$Fail_assembly_chimeric_score_SE_DLE <- dat2$dat2$Fail_assembly_chimeric_score_SE_DLE
Found_in_SE_self_molecules <- dat2$Found_in_SE_self_molecules
Fail_assembly_chimeric_score_SE <- dat2$Fail_assembly_chimeric_score_SE
BSPQI_status_DB <- as.character(
dat2$Found_in_self_BSPQI_molecules)
BSSSI_status_DB <- as.character(
dat2$Found_in_self_BSSSI_molecules)
BSPQI_chimeric_score_DB <- as.character(
dat2$Fail_BSPQI_assembly_chimeric_score)
BSSSI_chimeric_score_DB <- as.character(
dat2$Fail_BSSSI_assembly_chimeric_score)
if((length(grep("inversion", variantType2[nn])) >= 1)){
if (((dat2$RefStartPos >= rf_wb_int_parents[nn])
& (dat2$RefEndPos <= re_fb_int_parents[nn]))
& (perc_ref_query >= perc_similarity_parents
& perc_query_ref >= perc_similarity_parents)
& identical(chrom2,chromo2[nn])
& identical(type, variantType2[nn])
& identical(svfamid1, svfamid)){
# Family Extra column zygosity
if (patID == 1 & patID1 == 2){
#countfre <- countfre + 0
motherZygosity <- as.character(zygo)
fatherZygosity <- "-"
}
else if (patID == 1 & patID1 == 3){
#countfre <- countfre + 0
motherZygosity <- "-"
fatherZygosity <- as.character(zygo)
}
else if (patID == patID1){
#countfre <- countfre + 0
motherZygosity <- "-"
fatherZygosity <- "-"
}
else{
motherZygosity <- "-"
fatherZygosity <- "-"
}
}
else if (identical(chrom2,chromo2[nn]) &
identical(type,variantType2[nn])
& (perc_ref_query >= perc_similarity
& perc_query_ref >= perc_similarity)
& !(identical(svfamid1, svfamid)) &
((BSPQI_status_DB == "yes" &
BSSSI_status_DB == "yes") |
(BSPQI_status_DB == "no" &
BSSSI_status_DB == "yes") |
(BSPQI_status_DB == "yes" &
BSSSI_status_DB == "no") |
(BSPQI_status_DB == "yes" &
BSSSI_status_DB == "-") |
(BSPQI_status_DB == "-" &
BSSSI_status_DB == "yes")
|(Found_in_SE_self_molecules == "yes"))
&(conf > invconf)
& ((BSPQI_chimeric_score_DB == "pass"
& BSSSI_chimeric_score_DB == "pass") |
(BSPQI_chimeric_score_DB == "fail" &
BSSSI_chimeric_score_DB == "pass") |
(BSPQI_chimeric_score_DB == "pass" &
BSSSI_chimeric_score_DB == "fail") |
(BSPQI_chimeric_score_DB == "pass" &
BSSSI_chimeric_score_DB == "-") |
(BSPQI_chimeric_score_DB == "-" &
BSSSI_chimeric_score_DB == "pass")
|(Fail_assembly_chimeric_score_SE == "pass"))
& ((typ1=="inversion" & typ2=="inversion") |
(typ1=="inversion" & is.na(typ2)) |
(is.na(typ1) & typ2=="inversion")
| (typ1=="-" & typ2=="-" & type == "inversion"))){
if(zygo=="homozygous"){
countfre <- 2
}
else if(zygo=="unknown"){
countfre <- 2
}
else{
countfre <- 1
}
if(as.character(zygo)=="homozygous"){
homozygo<- as.character(svfamid1)
}
else{
homozygo<- NULL
}
motherZygosity <- "-"
fatherZygosity <- "-"
}
else {
countfre <- 0
motherZygosity <- "-"
fatherZygosity <- "-"
}
if (identical(chrom2,chromo2[nn]) &
identical(type, variantType2[nn])
& (perc_ref_query >= perc_similarity
& perc_query_ref >= perc_similarity)
& !(identical(svfamid1, svfamid)) ){
if(zygo=="homozygous"){
countfreunfilt <- 2
}
else if(zygo=="unknown"){
countfreunfilt <- 2
}
else{
countfreunfilt <- 1
}
}
else{
countfreunfilt <- 0
}
}else{
if (((dat2$RefStartPos >= rf_wb_int_parents[nn]) &
(dat2$RefEndPos <= re_fb_int_parents[nn])) &
identical(chrom2,chromo2[nn])&
identical(type, variantType2[nn]) &
(identical(svfamid1, svfamid))){
# Family Extra column zygosity
if (patID == 1 & patID1 == 2){
countfre <- countfre + 0
motherZygosity <- as.character(zygo)
fatherZygosity <- "-"
}
else if (patID == 1 & patID1 == 3){
countfre <- countfre + 0
motherZygosity <- "-"
fatherZygosity <- as.character(zygo)
}
else if (patID == patID1){
countfre <- countfre + 0
motherZygosity <- "-"
fatherZygosity <- "-"
}
else{
motherZygosity <- "-"
fatherZygosity <- "-"
}
}
else if (identical(chrom2,chromo2[nn]) &
identical(type,variantType2[nn]) &
!(identical(svfamid1, svfamid)) &
((BSPQI_status_DB == "yes" &
BSSSI_status_DB == "yes") |
(BSPQI_status_DB == "no" &
BSSSI_status_DB == "yes") |
(BSPQI_status_DB == "yes" &
BSSSI_status_DB == "no") |
(BSPQI_status_DB == "yes" &
BSSSI_status_DB == "-") |
(BSPQI_status_DB == "-" &
BSSSI_status_DB == "yes")
|(Found_in_SE_self_molecules == "yes"))
& (conf > transconf)
& ((BSPQI_chimeric_score_DB == "pass"
& BSSSI_chimeric_score_DB == "pass") |
(BSPQI_chimeric_score_DB == "fail" &
BSSSI_chimeric_score_DB == "pass") |
(BSPQI_chimeric_score_DB == "pass" &
BSSSI_chimeric_score_DB == "fail") |
(BSPQI_chimeric_score_DB == "pass" &
BSSSI_chimeric_score_DB == "-") |
(BSPQI_chimeric_score_DB == "-" &
BSSSI_chimeric_score_DB == "pass")
|(Fail_assembly_chimeric_score_SE == "pass"))
& ((typ1=="translocation" & typ2=="translocation")
| (typ1=="translocation" & is.na(typ2))
| (is.na(typ1) & typ2=="translocation")
| (typ1=="translocation_intrachr"
& typ2=="translocation_intrachr")
| (typ1=="translocation_intrachr" & is.na(typ2))
| (is.na(typ1) & typ2=="translocation_intrachr")
| (typ1=="translocation_interchr"
& typ2=="translocation_interchr")
| (typ1=="translocation_interchr" & is.na(typ2))
| (is.na(typ1) & typ2=="translocation_interchr")
| (typ1=="-" & typ2=="-" & type == "translocation")
| (typ1=="-" & typ2=="-"
& type == "translocation_interchr")
| (typ1=="-" & typ2=="-"
& type == "translocation_intrachr"))){
if(zygo=="homozygous"){
countfre <- 2
}
else if(zygo=="unknown"){
countfre <- 2
}
else{
countfre <- 1
}
if(as.character(zygo)=="homozygous"){
homozygo<- as.character(svfamid1)
}
else{
homozygo<- NULL
}
motherZygosity <- "-"
fatherZygosity <- "-"
}
else {
countfre <- countfre + 0
motherZygosity <- "-"
fatherZygosity <- "-"
}
if (identical(chrom2,chromo2[nn]) &
identical(type, variantType2[nn]) &
!(identical(svfamid1, svfamid)) ){
if(zygo=="homozygous"){
countfreunfilt <- 2
}
else if(zygo=="unknown"){
countfreunfilt <- 2
}
else{
countfreunfilt <- 1
}
}
else{
countfreunfilt <- 0
}
}
##Checking for whether there are any homozygous variants or
##not
if(length(homozygo)>0){
homozygo <- length(homozygo)
}
else{
homozygo= 0
}
##### print(paste('INVTRANS:',countfre,sep=''))
famno <- as.numeric(
unname(hash::values(ha, keys = svfamid)))
data1 <- data.frame(dat1[nn, ],
Internal_Freq_Perc_Filtered =
as.numeric(format(round((
countfre/(2*(usamp - famno))) * 100,digits=3), scientific = FALSE)),
Internal_Freq_Perc_Unfiltered = as.numeric(format(round((
countfreunfilt/(2*(usamp - famno))) * 100,digits=3), scientific = FALSE)),
Internal_Homozygotes=as.numeric(homozygo),
MotherZygosity = as.character(motherZygosity),
FatherZygosity = as.character(fatherZygosity),
stringsAsFactors = FALSE)
#### print(dim(data1))
datf <- rbind(datf, data1)
}
else{
data1 <- data.frame(dat1[nn, ],
Internal_Freq_Perc_Filtered= 0,
Internal_Freq_Perc_Unfiltered =0,
Internal_Homozygotes= 0, MotherZygosity = "-",
FatherZygosity = "-", stringsAsFactors = FALSE)
#### print(dim(data1))
datf <- rbind(datf, data1)
# next;
}
}
else{
#### print(paste('QueryData:',dim(dat1[nn,]),sep=''))
data1 <- data.frame(dat1[nn, ],
Internal_Freq_Perc_Filtered= 0,
Internal_Freq_Perc_Unfiltered = 0,
Internal_Homozygotes= 0, MotherZygosity = "-",
FatherZygosity = "-", stringsAsFactors = FALSE)
#### print(dim(data1))
datf <- rbind(datf, data1)
}
}
dataFinal <- rbind(dataFinal, datf)
}
if(returnMethod=="Text"){
st1 <- strsplit(smap, ".txt")
fname <- st1[[1]][1]
row.names(dataFinal) <- c()
filenam<-paste(fname,"_Int.txt",sep="")
write.table(dataFinal, file.path(smappath, fname), sep = "\t",
row.names = FALSE)
}
else if (returnMethod=="dataFrame"){
return(dataFinal)
}
else{
stop("returnMethod Incorrect")
}
}
VilainLab/nanotatoR documentation built on Aug. 3, 2024, 12:46 a.m.
R Package Documentation
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Defines functions internalFrequencyTrio_Duo
Documented in internalFrequencyTrio_Duo
#' Calculates the internal frequencies of SV in internal cohorts,
#' for SVMerge
#'
#' @param mergedFiles character. Path to the merged SV files.
#' @param smappath character. path to the query smap file.
#' @param smap character. File name for the smap
#' @param smapdata character. Dataframe if input type chosen as dataframe.
#' @param buildSVInternalDB boolean. Checking whether the merged solo
#' file database exist.
#' @param input_fmt_SV Format in which data
#' is provided as an input to thefunction.
#' @param path character. Path to the solo file database.
#' @param pattern character. pattern of the file names to merge.
#' @param outpath character. Path to merged SV solo datasets.
#' @param dbOutput character. Output of merged bionano data.
#' @param fname character. Filename in case dbOutput = Text.
#' @param win_indel N umeric. Insertion and deletion error window.
#' Default 10000.
#' @param win_inv_trans Numeric. Inversion and translocation error window.
#' Default 50000.
#' @param perc_similarity Numeric . ThresholdPercentage similarity
#' of the query SV and reference SV. Default 0.5.
#' @param perc_similarity_parents Numeric . ThresholdPercentage similarity
#' for zygosity determination. Default 0.9.
#' @param EnzymeType Character. Type of enzyme. Options Dual and DLE.
#' @param indelconf Numeric. Threshold for insertion and deletion confidence.
#' Default 0.5
#' @param invconf Numeric. Threshold for inversion confidence.Default 0.01.
#' @param transconf Numeric. Threshold for translocation confidence.
#' Default 0.1.
#' @param limsize Numeric. Minimum size of SV that can be determined
#' acurately by the Bionano SV caller. Default 1000.
#' @param win_indel_parents Numeric. Insertion and deletion error window to
#' determine zygosity in case of parents. Default 5000.
#' @param win_inv_trans_parents Numeric. Inversion and translocation error
#' window to determine zygosity in case of parents. Default 40000.
#' @param indexfile File containing connection between sample and nanoIDs
#' @param labelType character. Type of labels used for mapping.
#' Choices are Dual, DLE and Both.
#' @param SVMerge_path character. Path for the Dual labelled cmap
#' @param SVMerge_pattern character. pattern of the dual files.
#' @param SE_path character. Path for the Dual labelled cmap
#' @param SE_pattern character. pattern of the dual files.
#' @param Samplecodes character. File containing relations and IDs
#' associated to them.
#' @param mergeKey character. File containing sample ID and relation.
#' @param outpath character. Path where the merged samples are kept.
#' @param mergedKeyoutpath character. File path storing sample name and nanoID
#' key information.
#' @param mergedKeyFname character. File name storing sample name and nanoID
#' key information.
#' @param returnMethod character. Choice between Text and DataFrame.
#' @param returnMethod character. Choice between Text and DataFrame.
#' Required if you want to calculate internal frequency.
#' @return Calculated internal frequency in dataframe or text.
#' @examples
#' smapName="GM24385_Ason_DLE1_VAP_trio5.smap"
#' smap = system.file("extdata", smapName, package="nanotatoR")
#' indelconf = 0.5; invconf = 0.01;transconf = 0.1;input_fmt_SV="Text";
#' datInf <- internalFrequency_solo( smap = smap,
#' buildSVInternalDB = FALSE, win_indel=10000,
#' win_inv_trans=50000, EnzymeType = "SE",
#' mergedFiles = system.file("extdata", "nanotatoRControl.txt", package="nanotatoR"),
#' perc_similarity_parents =0.9,
#' indexfile = system.file("extdata", "Sample_index.csv", package="nanotatoR"),
#' perc_similarity=0.5, indelconf=0.5, invconf=0.01,
#' transconf=0.1, limsize=1000, win_indel_parents=5000,input_fmt="Text",
#' win_inv_trans_parents=40000,
#' returnMethod="dataFrame", input_fmt_SV = "Text")
#' @importFrom stats na.omit
#' @import tidyverse
#' @import hash
#' @importFrom rlang .data
#' @importFrom dplyr mutate group_by summarise
#' @export
internalFrequencyTrio_Duo <- function(mergedFiles, smappath , smap ,
buildSVInternalDB=FALSE, smapdata,
path, pattern, outpath, win_indel=10000, win_inv_trans=50000,
perc_similarity=0.5, indelconf=0.5, invconf=0.01, fname,
limsize=1000, win_indel_parents=5000,win_inv_trans_parents=40000,
transconf=0.1, dbOutput =c("dataframe","text"),
perc_similarity_parents=0.9,
returnMethod=c("Text","dataFrame"),
input_fmt_SV=c("Text","dataFrame"),
indexfile,
EnzymeType = c("SVmerge", "SE"),
labelType = c("SVMerge", "SE", "Both"),
SVMerge_path ,SVMerge_pattern ,
SE_path , SE_pattern,
Samplecodes ,mergeKey,
mergedKeyoutpath, mergedKeyFname){
#library(hash)
print("###Calculating the Internal Frequency###")
if(buildSVInternalDB == TRUE){
r <- merging_SE_SVMerge(
labelType = labelType,
SVMerge_path = SVMerge_path,
SVMerge_pattern = SVMerge_pattern,
SE_path = SE_path,
SE_pattern = SE_pattern,
Samplecodes = Samplecodes,
mergeKey = mergeKey,
mergedKeyoutpath = mergedKeyoutpath,
mergedKeyFname = mergedKeyFname,
outputMode = "dataframe")
}
else{
r <- read.table(mergedFiles, sep = "\t", header = TRUE)
}
usamp <- length(unique(r$nanoID))
if(input_fmt_SV=="dataFrame"){
smapdata = smapdata
if(EnzymeType == "SVMerge"){
#smapdata <- readSMap(smap, input_fmt_smap = "Text")
SVID <- smapdata$SVIndex
}
else{
#smapdata <- readSMap_DLE(smap, input_fmt_smap)
SVID <- smapdata$SmapEntryID
}
}
else if(input_fmt_SV=="Text"){
if(EnzymeType == "SVMerge"){
smapdata <- readSMap(smap, input_fmt_smap = "Text")
SVID<-smapdata$SVIndex
}
else{
smapdata <- readSMap_DLE(smap, input_fmt_smap = "Text")
SVID<-smapdata$SmapEntryID
}
}
else{
stop("Input format for SMAP Incorrect")
}
r1 <- smapdata
sampID <- str_squish(as.character(unique(r1$SampleID)))
ufam <- as.character(unique(r$nanoID))
famid <- c()
for (qp in seq_len(length(ufam)))
{
stt <- strsplit(ufam[[qp]][1], split = "[.]")
famid <- c(famid, as.character(stt[[1]][1]))
}
datf1 <- data.frame(table(famid))
ha <- hash()
.set(ha, keys = as.character(datf1$famid),
values = as.character(datf1$Freq))
## Checking Sex male/female and assigning chromosome number accordingly
chro1 <- sort(unique(r1$RefcontigID1))
#chro1 <- c(1:chro)
dataFinal <- c()
for (ii in seq_along(chro1))
{
dat <- r[which(r$RefcontigID1 == chro1[ii]), ]
# variantType1<-dat$variantsubtype Changing the variant terms in DGV to
# match svmap
variantType1 <- dat$Type
BSPQI_status_DB <- as.character(dat$Found_in_self_BSPQI_molecules)
BSSSI_status_DB <- as.character(dat$Found_in_self_BSSSI_molecules)
## Extracting data from SVmap
dat1 <- r1[which(r1$RefcontigID1 == chro1[ii]), ]
chromo2<-dat1$RefcontigID2
## Adding the windows to the breakpoints
rf <- dat1$RefStartPos
rf_wb_ind <- rf - win_indel
rf_fb_ind <- rf + win_indel
rf_wb_int <- rf - win_inv_trans
rf_fb_int <- rf + win_inv_trans
re <- dat1$RefEndPos
re_wf_ind <- re + win_indel
re_wb_ind <- re - win_indel
re_wb_int <- re - win_inv_trans
re_fb_int <- re + win_inv_trans
## Calculating size
size_bn <- dat1$Size
conf1 <- dat1$Confidence
variantType2 <- as.character(dat1$Type)
###Parents Zygosity check
'win_indel_parents<-as.numeric(win_indel_parents[oo])
win_inv_trans_parents<- as.numeric(win_inv_trans_parents[oo])
perc_similarity_parents<-as.numeric(perc_similarity_parents[oo])'
#win_indel_parents<-as.numeric(win_indel_parents)
#win_inv_trans_parents<- as.numeric(win_inv_trans_parents)
'win_inv_trans_parents<- as.numeric(win_inv_trans_parents[oo])'
#perc_similarity_parents<-as.numeric(perc_similarity_parents)
rf_wb_ind_parents <- rf - win_indel_parents
rf_fb_ind_parents <- rf + win_indel_parents
rf_wb_int_parents <- rf - win_inv_trans_parents
rf_fb_int_parents <- rf + win_inv_trans_parents
#re <- dat1$RefEndPos
re_wf_ind_parents <- re + win_indel_parents
re_wb_ind_parents <- re - win_indel_parents
re_wb_int_parents <- re - win_inv_trans_parents
re_fb_int_parents <- re + win_inv_trans_parents
# svfam<-as.character(dat1$SVIdentifier)
#print(indexfile)
if(buildSVInternalDB == FALSE){
famindexfile <-read.csv(indexfile)
} else{
famindexfile <- read.csv(file.path(
mergedKeyoutpath = mergedKeyoutpath,
mergedKeyFname = mergedKeyFname))
}
ha1 <- hash()
.set(ha1, keys = famindexfile$SampleID, values = famindexfile$NID)
val1 <-as.character(hash::values(ha1, keys = sampID))
stt1 <- strsplit(val1, split = "\\.")
patID <- stt1[[1]][2]
svfamid <- stt1[[1]][1]
ha2 <- hash()
.set(ha2, keys = famindexfile$SampleID, values = famindexfile$Tag)
'if((length(grep("\\\\",smap))>=1)){
spl<-strsplit(as.character(smap), split = "\\\\")
lenspll1<-length(spl[[1]])
spl1 <- strsplit(as.character(spl[[1]][lenspll1]), split = "_")
# svfamid<-as.character(spl1[[1]][2])
spl2 <- strsplit(as.character(spl1[[1]][1]), split = "[.]")
patID <- spl2[[1]][2]
svfamid <- spl2[[1]][1]
}
else if((length(grep("/",smap))>=1)){
spl<-strsplit(as.character(smap), split = "/")
lenspll1<-length(spl[[1]])
spl1 <- strsplit(as.character(spl[[1]][lenspll1]), split = "_")
# svfamid<-as.character(spl1[[1]][2])
spl2 <- strsplit(as.character(spl1[[1]][1]), split = "[.]")
patID <- spl2[[1]][2]
svfamid <- spl2[[1]][1]
}
else{
spl1 <- strsplit(as.character(smap), split = "_")
# svfamid<-as.character(spl1[[1]][2])
spl2 <- strsplit(as.character(spl1[[1]][1]), split = "[.]")
patID <- spl2[[1]][2]
svfamid <- spl2[[1]][1]
}'
# svind<-dat1$SVIndex
bsssi<-c()
bspqi<-c()
rest<-c()
# conf<-dat$Confidence countfre<-0 percn<-c()
datf <- c()
print(paste('Chrom:',ii,sep=''))
#for (nn in 1:20)
for (nn in seq_along(rf))
{
#print(paste("nn:",nn))
if ((variantType2[nn] == "deletion" |
variantType2[nn] == "insertion")){
dat2 <-dat[which((dat$RefStartPos >= rf_wb_ind[nn]
& dat$RefEndPos <= re_wf_ind[nn])),]
size1 <- size_bn[nn]
## Calculating Internal Frequency
if (nrow(dat2) > 1)
{
dat2$perc_ref_query <- as.numeric(dat2$Size)/size1
dat2$perc_query_ref <- size1/as.numeric(dat2$Size)
stt12 <- str_split(as.character(dat2$nanoID),
pattern = "\\.")
famid <- c(); relnid <- c()
'for(ee in seq_along(stt12)){
famid <- c(famid, as.character(stt12[[ee]][1]))
relnid <- c(relnid, as.character(stt12[[ee]][2]))
}
'
dat2$FamilyID <- sapply(stt12, function(x) x[1])
dat2$RelationID <- sapply(stt12, function(x) x[2])
dat2MomEqual <- dat2[which(((dat2$RefStartPos == rf[nn])
& (dat2$RefEndPos==re[nn]))
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 &
dat2$RelationID == 2)),]
dat2DadEqual <- dat2[which(((dat2$RefStartPos ==rf[nn]) &
(dat2$RefEndPos==re[nn])) &
(dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1
& dat2$RelationID == 3)),]
dat2MomRange <- dat2[which(((
dat2$RefStartPos >= rf_wb_int_parents[nn])
& (dat2$RefEndPos <= re_fb_int_parents[nn]))
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1
& dat2$RelationID == 2)),]
'dat2MomRange <- subset(dat2,((((RefStartPos <= rf[nn] &
RefStartPos >= rf_wb_ind_parents[nn]) |
(RefStartPos >= rf[nn] & RefStartPos <= rf_wb_ind_parents[nn]))
& ((RefEndPos >= re[nn] & RefStartPos <= re_wf_ind_parents[nn])
| (RefEndPos <= re[nn] & dat2$RefEndPos >= re_wf_ind_parents[nn])))
& (dat2$perc >= perc_similarity)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 2)))'
dat2DadRange <- dat2[which(((
dat2$RefStartPos >= rf_wb_int_parents[nn])
& (dat2$RefEndPos <= re_fb_int_parents[nn]))
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1
& dat2$RelationID == 3)),]
dat2Frequency <- dat2[which((
dat2$perc_ref_query >= perc_similarity
& dat2$perc_query_ref >= perc_similarity)
& (dat2$Size >= limsize)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) != svfamid)
& (dat2$Confidence >= indelconf)
& ((dat2$Found_in_self_BSPQI_molecules == "yes"
& dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_self_BSPQI_molecules == "no"
& dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_self_BSPQI_molecules == "yes"
& dat2$Found_in_self_BSSSI_molecules == "no")
| (dat2$Found_in_self_BSPQI_molecules == "yes"
& dat2$Found_in_self_BSSSI_molecules == "-")
| (dat2$Found_in_self_BSPQI_molecules == "-"
& dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_SE_self_molecules == "yes"))
& ((dat2$Type1 =="insertion" & dat2$Type2 =="insertion")
| (dat2$Type1 =="insertion" & is.na(dat2$Type2))
| (is.na(dat2$Type1) & dat2$Type2 =="insertion")
| (dat2$Type1 == "deletion" & dat2$Type2 == "deletion")
| (dat2$Type1 == "deletion" & is.na(dat2$Type2))
| (is.na(dat2$Type1) & dat2$Type2 =="deletion")
| (dat2$Type1 == "-"
& dat2$Type2 == "-" & dat2$Type == "deletion")
| (dat2$Type1 == "-"
& dat2$Type2 == "-" & dat2$Type == "insertion"))),]
dat2UnfilteredFrequency <- dat2[which((
dat2$perc_ref_query >= perc_similarity &
dat2$perc_query_ref >= perc_similarity)
& (as.character(dat2$FamilyID) != svfamid)
& (as.character(dat2$Type) == variantType2[nn])),]
'countfre <- c();countfreunfilt<-c()
sv1 <- dat2$nanoID
# svind1<-dat2$SVIndex
#sv1 <- strsplit(as.character(svfam1), split = "_")
size_internal <- dat2$Size
zygo <- as.character(dat2$Zygosity)
type <- as.character(dat2$Type)
typ1 <- as.character(dat2$Type1)
typ2 <- as.character(dat2$Type2)
#svid <- as.numeric(dat2$SVIndex)
\'if (length(grep("SVIndex",names(smap)))>0){
svid <- dat2$SVIndex
}
else{
svid <- dat2$SmapEntryID
}\'
BSPQI_status_DB <-
as.character(dat2$Found_in_self_BSPQI_molecules)
BSSSI_status_DB <-
as.character(dat2$Found_in_self_BSSSI_molecules)
svStrt<-as.numeric(dat2$RefStartPos)
svEnd<-as.numeric(dat2$RefEndPos)
type1<-as.character(dat2$Type1)
type2<-as.character(dat2$Type2)
conf <- dat2$Confidence
motherZygosity <- c()
fatherZygosity <- c()
motherZygosity_exact <- c()
fatherZygosity_exact <- c()
svfamid3 <- c()
svfamid3_unfilt <- c()
bsssi<-c()
bs_bq<-c()
bspqi<-c()
svSAMP<-c()
svSAMP_unfiltered<-c()
homozygo<-c()
for (ll in seq_len(nrow(dat2))){
perc <- (size1/size_internal[ll])
print(perc)
print (sv1[ll])
#### print(perc) print(type[ll])
stt <- strsplit(as.character(sv1[ll]), split = "[.]")
patID1 <- stt[[1]][2]
svfamid1 <- stt[[1]][1]
#### print(svfamid1)
###Filtered INDEL
##Check whether the parents have same breakpoints
##as the proband
if (((svStrt[ll]==rf[nn]) & (svEnd[ll]==re[nn])) &
(perc_ref_query >= perc_similarity & perc_query_ref >= perc_similarity) &
identical(type[ll], variantType2[nn]) &
(identical(svfamid1, svfamid))){
# Family Extra column zygosity
if (patID == 1 & patID1 == 2){
# svfamid3<-c(svfamid3,svfamid1)
motherZygosity_exact <- c(motherZygosity_exact,
as.character(zygo[ll]))
fatherZygosity_exact <- c(fatherZygosity_exact,
NULL)
}
else if (patID == 1 & patID1 == 3){
motherZygosity_exact <- c(motherZygosity_exact,
NULL)
fatherZygosity_exact <- c(fatherZygosity_exact,
as.character(zygo[ll]))
}
else if (patID == patID1){
motherZygosity_exact <- c(motherZygosity_exact,
NULL)
fatherZygosity_exact <- c(fatherZygosity_exact,
NULL)
}
else{
# svfamid3<-c(svfamid3,svfamid1)
motherZygosity_exact <- c(motherZygosity_exact,
NULL)
fatherZygosity_exact <- c(fatherZygosity_exact,
NULL)
}
}
else if ((perc_ref_query >= perc_similarity & perc_query_ref >= perc_similarity) &
identical(type[ll], variantType2[nn]) &
(identical(svfamid1, svfamid)) &
((( svStrt[ll] <= rf[nn] &
svStrt[ll] >= rf_wb_ind_parents[nn]) |
(svStrt[ll] >= rf[nn] &
svStrt[ll] <= rf_fb_ind_parents[nn])) &
((svEnd[ll] >= re[nn] &
svEnd[ll] <= re_wf_ind_parents[nn]) |
(svEnd[ll] <= re[nn] &
svEnd[ll] >= re_wb_ind_parents[nn])))
){
#Family Extra column zygosity
if (patID == 1 & patID1 == 2){
# svfamid3<-c(svfamid3,svfamid1)
motherZygosity <- c(motherZygosity,
as.character(zygo[ll]))
fatherZygosity <- c(fatherZygosity, NULL)
}
else if (patID == 1 & patID1 == 3){
motherZygosity <- c(motherZygosity, NULL)
fatherZygosity <- c(fatherZygosity,
as.character(zygo[ll]))
}
else if (patID == patID1){
motherZygosity <- c(motherZygosity, NULL)
fatherZygosity <- c(fatherZygosity, NULL)
}
else {
# svfamid3<-c(svfamid3,svfamid1)
motherZygosity <- c(motherZygosity, NULL)
fatherZygosity <- c(fatherZygosity, NULL)
}
}
else if ((perc_ref_query >= perc_similarity & perc_query_ref >= perc_similarity) &
(identical(type[ll], variantType2[nn])) &
((size_internal[ll]>=limsize)) &
!(identical(svfamid1, svfamid)) &
(conf[ll] >= indelconf) &
((BSPQI_status_DB[ll] == "yes" &
BSSSI_status_DB[ll] == "yes")
| (BSPQI_status_DB[ll] == "no" &
BSSSI_status_DB[ll] == "yes") |
(BSPQI_status_DB[ll] == "yes" &
BSSSI_status_DB[ll] == "no") |
(BSPQI_status_DB[ll] == "yes" &
BSSSI_status_DB[ll] == "-") |
(BSPQI_status_DB[ll] == "-" &
BSSSI_status_DB[ll] == "yes")) &
((typ1[ll]=="insertion" &
typ2[ll]=="insertion") |
(typ1[ll]=="insertion" & is.na(typ2[ll])) |
(is.na(typ1[ll]) & typ2[ll]=="insertion") |
(typ1[ll]=="deletion" & typ2[ll]=="deletion") |
(typ1[ll]=="deletion" & is.na(typ2[ll])) |
(is.na(typ1[ll]) & typ2[ll]=="deletion"))
) {
#print ("Not in the same family")
countfre <- c(countfre,1)
print(countfre)
svfamid3 <- c(svfamid3, as.character(sv1[ll]))
motherZygosity <- c(motherZygosity, "-")
fatherZygosity <- c(fatherZygosity, "-")
svSAMP<-c(svSAMP,ll)
if(as.character(zygo[ll])=="homozygous"){
homozygo<-c(homozygo,
as.character((sv1[ll])))
}
else{
homozygo<-c(homozygo, NULL)
}
}
else{
motherZygosity <- c(motherZygosity, "-")
fatherZygosity <- c(fatherZygosity, "-")
}
###Unfiltered INDEL
if (perc >= perc_similarity &
identical(type[ll], variantType2[nn]) &
!(identical(svfamid1, svfamid))){
countfreunfilt <- c(countfreunfilt,1)
svfamid3_unfilt <- c(svfamid3_unfilt,
as.character(sv1[ll]))
svSAMP_unfiltered<-c(svSAMP_unfiltered,ll)
}
else{
\'print ("SVs does not meet the unfiltered
criteria!!!")\'
}
}'
##Filtered
if (is.null(dat2Frequency)){
filtFreq = 0
cntHomozygotes = 0
}else if (nrow(dat2Frequency) > 0){
dat2Homozygotes <- data.frame(dat2Frequency %>%
mutate(Homozygo = .data$Zygosity=="homozygous")
%>% group_by(.data$nanoID)
%>% summarise (Homozygotes = sum(.data$Homozygo)))
cntHomozygotes <- sum(dat2Homozygotes$Homozygo)
dat2Homozygotes [,2] <- ifelse(
dat2Homozygotes[,2] > 0, 2, 0
)
dat2Heterozygotes <- data.frame(
dat2Frequency
%>% mutate(
Heterozygo = .data$Zygosity == "heterozygous"
)
%>% group_by(.data$nanoID)
%>% summarise (Heterozygotes = sum(.data$Heterozygo
)))
dat2Heterozygotes [,2] <- ifelse(
dat2Heterozygotes[,2] > 0, 1, 0
)
dat2Unknown <- data.frame(dat2Frequency
%>% mutate(Unknown = .data$Zygosity == "unknown")
%>% group_by(.data$nanoID)
%>% summarise (Unknown = sum(.data$Unknown)))
dat2Unknown [,2] <- ifelse(
dat2Unknown[,2] > 0, 2, 0
)
dat2filtFreq <- data.frame(
NR = dat2Homozygotes[,1],
Homozygote = dat2Homozygotes[,2],
Heterozygotes = dat2Heterozygotes[,2],
Unknown = dat2Unknown[,2])
row.names(dat2filtFreq) <- as.character(
dat2Homozygotes[,1])
dat2filtFreq$RowSum <- ifelse(
(dat2filtFreq$Heterozygotes ==1
& (dat2filtFreq$Homozygote == 0
& dat2filtFreq$Unknown == 0)), 1, 2)
filtFreq <- sum(dat2filtFreq$RowSum)
}else{
filtFreq = 0
cntHomozygotes = 0
}
###Unfiltered
if (is.null(dat2UnfilteredFrequency)){
filtFreq = 0
cntHomozygotes = 0
}else if (nrow(dat2UnfilteredFrequency) > 0){
dat2Homozygotes <- data.frame(
dat2UnfilteredFrequency
%>% mutate(Homozygo=.data$Zygosity=="homozygous")
%>% group_by(.data$nanoID)
%>% summarise (Homozygotes = sum(.data$Homozygo)))
#cntHomozygotes <- sum(dat2Homozygotes$Homozygotes)
dat2Homozygotes [,2] <- ifelse(
dat2Homozygotes[,2] > 0, 2, 0
)
dat2Heterozygotes <- data.frame(
dat2UnfilteredFrequency
%>% mutate(
Heterozygo = .data$Zygosity == "heterozygous")
%>% group_by(.data$nanoID)
%>% summarise (Heterozygotes = sum(.data$Heterozygo)))
dat2Heterozygotes [,2] <- ifelse(
dat2Heterozygotes[,2] > 0, 1, 0
)
dat2Unknown <- data.frame(dat2UnfilteredFrequency
%>% mutate(Unknown = .data$Zygosity == "unknown")
%>% group_by(.data$nanoID)
%>% summarise (Unknown = sum(.data$Unknown)))
dat2Unknown [,2] <- ifelse(
dat2Unknown[, 2] > 0, 2, 0
)
dat2unfiltFreq <- data.frame(
Homozygote = dat2Homozygotes[,2],
Heterozygotes = dat2Heterozygotes[,2],
Unknown = dat2Unknown[,2])
row.names(dat2unfiltFreq) <- as.character(
dat2Homozygotes[,1]
)
dat2unfiltFreq$RowSum <- ifelse((
dat2unfiltFreq$Heterozygotes ==1
& (dat2unfiltFreq$Homozygote == 0
& dat2unfiltFreq$Unknown == 0)), 1, 2)
UnfilteredFrequency = sum(dat2unfiltFreq$RowSum)
} else{
UnfilteredFrequency = 0
}
##Calculating filtered Frequency INDEL
##Zygosity Parent
if(length(dat2DadEqual$Zygosity) > 0){
if(length(as.character(unique
(dat2DadEqual$Zygosity))) == 1){
fatherZygosity<-as.character(
unique(dat2DadEqual$Zygosity)
)
}else {
fatherZygosity <- paste(
as.character(dat2DadEqual$Zygosity),
collapse = ","
)
}
} else if (length(dat2DadRange$Zygosity) > 0){
fatherzygosity <- as.character(dat2DadRange$Zygosity)
fatherZygosity1 <- gsub("-", NA, fatherzygosity)
fatherZygosity1 <- as.character(
na.omit(fatherZygosity1)
)
if(length(fatherZygosity1) == 1){
fatherZygosity<-as.character(
unique(fatherZygosity1)
)
}else {
fatherZygosity <- paste(
as.character(fatherZygosity1),
collapse = ","
)
}
}else {
fatherZygosity <- "-"
}
###Mother Zygosity
if(length(dat2MomEqual$Zygosity) > 0){
if(length(as.character(unique
(dat2MomEqual$Zygosity))) == 1){
motherZygosity<-as.character(
unique(dat2MomEqual$Zygosity)
)
}else {
motherZygosity <- paste(
as.character(dat2MomEqual$Zygosity),
collapse = ","
)
}
}else if (length(dat2MomRange$Zygosity) > 0){
motherZygosity <- as.character(dat2MomRange$Zygosity)
motherZygosity1 <- gsub("-", NA, motherZygosity)
motherZygosity1 <- as.character(
na.omit(motherZygosity1)
)
if(length(motherZygosity1) == 1){
motherZygosity<-as.character(
unique(motherZygosity1)
)
}else {
motherZygosity <- paste(
as.character(motherZygosity1),
collapse = ","
)
}
} else {
motherZygosity <- "-"
}
'if(length(homozygo)>=1){
homozygo <- length(unique(homozygo))
}
else if(length(homozygo)==1){
homozygo <- length(homozygo)
}
else{
homozygo <- 0
}'
famno <- unname(hash::values(ha2, keys = sampID))
fampas <- paste(
"^",as.character(famindexfile$Tag),"$", sep=""
)
famnopas <- paste("^",as.character(famno),"$",sep="")
famnumb <- length(grep(famnopas, fampas, fixed=TRUE))
data1 <- data.frame(dat1[nn, ],
Internal_Freq_Perc_Filtered =
as.numeric(format(round(
(filtFreq/(2*(usamp - famnumb))) * 100,digits=3)
, scientific = FALSE)),
Internal_Freq_Perc_Unfiltered =
as.numeric
(format(round((UnfilteredFrequency/
(2*(usamp - famnumb))) * 100,digits=3),
scientific = FALSE)),
Internal_Homozygotes=as.numeric(cntHomozygotes),
MotherZygosity = as.character(motherZygosity),
FatherZygosity = as.character(fatherZygosity),
stringsAsFactors = FALSE)
datf <- rbind(datf, data1)
}
else if (nrow(dat2) == 1){
# dgv_match=TRUE Calculating percentage similarity
countfre <- 0;countfreunfilt<-0
conf <- dat2$Confidence
size_internal <- dat2$Size
BSPQI_status_DB <- as.character(
dat2$Found_in_self_BSPQI_molecules)
BSSSI_status_DB <- as.character(
dat2$Found_in_self_BSSSI_molecules)
perc_query_ref <- (size1/size_internal)
perc_ref_query <- (size_internal/size1)
sv1 <- dat2$nanoID
#Found_in_SE_self_molecules <- dat2$Found_in_SE_self_molecules
Found_in_SE_self_molecules <- dat2$Found_in_SE_self_molecules
zygo <- as.character(dat2$Zygosity)
stt <- strsplit(as.character(sv1), split = "[.]")
patID1 <- stt[[1]][2]
svfamid1 <- stt[[1]][1]
motherZygosity <- ""
fatherZygosity <- ""
type <- as.character(dat2$Type)
typ1 <- as.character(dat2$Type1)
typ2 <- as.character(dat2$Type2)
homozygo<-c()
##Check for parents
if ((perc_ref_query >= perc_similarity_parents
& perc_query_ref >= perc_similarity_parents)
& identical(type, variantType2[nn])
& (identical(svfamid1, svfamid))
& ((dat2$RefStartPos >= rf_wb_int_parents[nn])
& (dat2$RefEndPos <= re_fb_int_parents[nn]))){
# Family Extra column zygosity
if (patID == 1 & patID1 == 2){
motherZygosity <- as.character(zygo)
fatherZygosity <- "-"
}
else if (patID == 1 & patID1 == 3){
motherZygosity <- "-"
fatherZygosity <- as.character(zygo)
}
else if (patID == patID1){
motherZygosity <- "-"
fatherZygosity <- "-"
}
else{
motherZygosity <- "-"
fatherZygosity <- "-"
}
}
else if ((perc_ref_query >= perc_similarity
& perc_query_ref >= perc_similarity)
& type == variantType2[nn]
& !(identical(svfamid1, svfamid))
& ((size_internal>=limsize))
& ((BSPQI_status_DB == "yes"
& BSSSI_status_DB == "yes")
| (BSPQI_status_DB == "no"
& BSSSI_status_DB == "yes")
| (BSPQI_status_DB == "yes"
& BSSSI_status_DB == "no")
| (BSPQI_status_DB == "yes"
& BSSSI_status_DB == "-")
| (BSPQI_status_DB == "-"
& BSSSI_status_DB == "yes")
| (Found_in_SE_self_molecules == "yes"))
& (conf > indelconf)
& ((typ1=="insertion" & typ2=="insertion")
| (typ1=="insertion" & is.na(typ2))
| (is.na(typ1) & typ2=="insertion")
| (typ1=="deletion" & typ2=="deletion")
| (typ1=="deletion" & is.na(typ2))
| (is.na(typ1) & typ2=="deletion")
| (typ1 == "-" & typ2 == "-" & type =="deletion")
| (typ1 == "-" & typ2 == "-" & type =="insertion")))
{
#print("not in a family")
if(as.character(zygo)=="homozygous"){
countfre <- 2
if(as.character(zygo)=="homozygous"){
homozygo<- as.character(svfamid1)
}
else{
homozygo<- NULL
}
}
else if(zygo=="unknown"){
countfre <- 2
}
else {
countfre <- 1
}
motherZygosity <- "-"
fatherZygosity <- "-"
}
else{
countfre <- 0
motherZygosity <- "-"
fatherZygosity <- "-"
}
###Unfiltered
if ((perc_ref_query >= perc_similarity
& perc_query_ref >= perc_similarity)
& identical(type, variantType2[nn])
& !(identical(svfamid1, svfamid))){
if(zygo=="homozygous"){
countfreunfilt <- 2
}
else if(zygo=="unknown"){
countfreunfilt <- 2
}
else{
countfreunfilt <- 1
}
}
else{
countfreunfilt <- 0
}
if(length(homozygo)>0){
homozygo <- length(unique(homozygo))
}
else{
homozygo=0
}
famno <- as.numeric(unname(hash::values(ha, keys = svfamid)))
data1 <- data.frame(dat1[nn, ],
Internal_Freq_Perc_Filtered =
as.numeric(format(round((countfre/(2*(usamp - famno)))
* 100,digits=3), scientific = FALSE)),
Internal_Freq_Perc_Unfiltered =
as.numeric(format
(round((countfreunfilt/(2*(usamp - famno)))
* 100,digits=3), scientific = FALSE)),
Internal_Homozygotes=as.numeric(homozygo),
MotherZygosity = as.character(motherZygosity),
FatherZygosity = as.character(fatherZygosity),
stringsAsFactors = FALSE)
datf <- rbind(datf, data1)
}
else
{
# dgv_match=FALSE
data1 <- data.frame(dat1[nn, ],
Internal_Freq_Perc_Filtered = 0,
Internal_Freq_Perc_Unfiltered = 0,
Internal_Homozygotes= 0,
MotherZygosity = "-",
FatherZygosity = "-",
stringsAsFactors = FALSE)
#### print(dim(data1)) print(names(data1)[56:58])
#### print(names(datf)[56:58])
#### print(identical((names(data1)[56]),(names(datf)[56])))
#### print(identical((names(data1)[57]),(names(datf)[57])))
#### print(identical((names(data1)[58]),(names(datf)[58])))
datf <- rbind(datf, data1)
# next;
}
} else if ((variantType2[nn] == "duplication" |
variantType2[nn] == "duplication_split" |
variantType2[nn] == "duplication_inverted" |
variantType2[nn] == "insertion"))
{
dat2 <-dat[which((dat$RefStartPos >= rf_wb_ind[nn]
& dat$RefEndPos <= re_wf_ind[nn])),]
size1 <- size_bn[nn]
## Calculating Internal Frequency
if (nrow(dat2) > 1){
dat2$perc_ref_query <- as.numeric(dat2$Size)/size1
dat2$perc_query_ref <- size1/as.numeric(dat2$Size)
stt12 <- str_split(as.character(dat2$nanoID), pattern = "\\.")
famid <- c(); relnid <- c()
dat2$FamilyID <- sapply(stt12, function(x) x[1])
dat2$RelationID <- sapply(stt12, function(x) x[2])
dat2MomEqual_duplication <- dat2[which((
(dat2$RefStartPos ==rf[nn])
& (dat2$RefEndPos==re[nn]))
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 2)
& ((as.character(dat2$Type) == "duplication") |
(as.character(dat2$Type) == "duplication_split") |
(as.character(dat2$Type) == "duplication_inverted")
)),]
dat2DadEqual_duplication <- dat2[which((
(dat2$RefStartPos ==rf[nn])
& (dat2$RefEndPos==re[nn]))
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1
& dat2$RelationID == 3)
& ((as.character(dat2$Type) == "duplication") |
(as.character(dat2$Type) == "duplication_split") |
(as.character(dat2$Type) == "duplication_inverted")
)),]
dat2MomRange_duplication <- dat2[which(((
dat2$RefStartPos >= rf_wb_ind_parents[nn])
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (dat2$RefEndPos <= re_wf_ind_parents[nn]))
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 2)
& ((as.character(dat2$Type) == "duplication")
| (as.character(dat2$Type) == "duplication_split")
| (as.character(dat2$Type) == "duplication_inverted")
)),]
dat2DadRange_duplication <- dat2[which(((
dat2$RefStartPos >= rf_wb_ind_parents[nn])
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (dat2$RefEndPos <= re_wf_ind_parents[nn]))
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 3)
& ((as.character(dat2$Type) == "duplication")
| (as.character(dat2$Type) == "duplication_split")
| (as.character(dat2$Type) == "duplication_inverted")
)),]
dat2MomEqual_insertion <- dat2[which(
((dat2$RefStartPos ==rf[nn])
& (dat2$RefEndPos==re[nn]))
& (as.character(dat2$Type) == variantType2[nn])
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 2)
& ((as.character(dat2$Type) == "insertion")
)),]
dat2DadEqual_insertion <- dat2[which(
((dat2$RefStartPos ==rf[nn])
& (dat2$RefEndPos==re[nn]))
& (as.character(dat2$Type) == variantType2[nn])
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 3)
& ((as.character(dat2$Type) == "insertion")
)),]
dat2MomRange_insertion <- dat2[which(((
dat2$RefStartPos >= rf_wb_ind_parents[nn])
& (dat2$RefEndPos <= re_wf_ind_parents[nn]))
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 2)
& ((as.character(dat2$Type) == "insertion")
)),]
dat2DadRange_insertion <- dat2[which(((
dat2$RefStartPos >= rf_wb_ind_parents[nn])
& (dat2$RefEndPos <= re_wf_ind_parents[nn]))
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 3)
& ((as.character(dat2$Type) == "insertion")
)),]
dat2FrequencyDuplication <- dat2[which(((
as.character(dat2$Type) == "duplication") |
(as.character(dat2$Type) == "duplication_split") |
(as.character(dat2$Type) == "duplication_inverted"))
& (dat2$perc_ref_query >= perc_similarity
& dat2$perc_query_ref >= perc_similarity)
& (as.character(dat2$FamilyID) != svfamid)
&((dat2$Found_in_self_BSPQI_molecules == "yes" &
dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_self_BSPQI_molecules == "no"
& dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_self_BSPQI_molecules == "yes"
& dat2$Found_in_self_BSSSI_molecules == "no")
| (dat2$Found_in_self_BSPQI_molecules == "yes"
& dat2$Found_in_self_BSSSI_molecules == "-")
| (dat2$Found_in_self_BSPQI_molecules == "-"
& dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_SE_self_molecules == "yes"))
& ((dat2$Type1 =="duplication" &
dat2$Type2 =="duplication") |
(dat2$Type1 =="duplication"
& is.na(dat2$Type2)) |
(is.na(dat2$Type1) & dat2$Type2 =="duplication")
| (dat2$Type1 == "duplication_split"
& dat2$Type2 == "duplication_split") |
(dat2$Type1 == "duplication_split"
& is.na(dat2$Type2)) |
(is.na(dat2$Type1)
& dat2$Type2 =="duplication_split")
| (dat2$Type1 == "duplication_inverted"
& dat2$Type2 == "duplication_inverted")
|(dat2$Type1 == "duplication_inverted"
& is.na(dat2$Type2)) |
(is.na(dat2$Type1)
& dat2$Type2 =="duplication_inverted")
| (dat2$Type1 == "-" & dat2$Type2 == "-"
& dat2$Type == "duplication_inverted")
| (dat2$Type1 == "-" & dat2$Type2 == "-"
& dat2$Type == "duplication")
| (dat2$Type1 == "-" & dat2$Type2 == "-"
& dat2$Type == "duplication_split"))
& ((dat2$Fail_BSPQI_assembly_chimeric_score == "pass" &
dat2$Fail_BSSSI_assembly_chimeric_score == "pass")
| (dat2$Fail_BSPQI_assembly_chimeric_score == "fail"
& dat2$Fail_BSSSI_assembly_chimeric_score == "pass")
| (dat2$Fail_BSPQI_assembly_chimeric_score == "pass"
& dat2$Fail_BSSSI_assembly_chimeric_score == "fail")
| (dat2$Fail_BSPQI_assembly_chimeric_score == "pass"
& dat2$Fail_BSSSI_assembly_chimeric_score == "-")
| (dat2$Fail_BSPQI_assembly_chimeric_score == "-"
& dat2$Fail_BSSSI_assembly_chimeric_score == "pass")
|(dat2$Fail_assembly_chimeric_score_SE == "pass"))),]
# dat2FrequencyDuplication <- subset(dat2,(((as.character(dat2$Type) == "duplication") |
dat2Insertion <- dat2[which((
dat2$perc_ref_query >= perc_similarity
& dat2$perc_query_ref >= perc_similarity)
& (dat2$Size >= limsize)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) != svfamid)
& (dat2$Confidence >= indelconf)
& ((dat2$Found_in_self_BSPQI_molecules == "yes"
& dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_self_BSPQI_molecules == "no"
& dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_self_BSPQI_molecules == "yes"
& dat2$Found_in_self_BSSSI_molecules == "no")
| (dat2$Found_in_self_BSPQI_molecules == "yes"
& dat2$Found_in_self_BSSSI_molecules == "-")
| (dat2$Found_in_self_BSPQI_molecules == "-"
& dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_SE_self_molecules == "yes"))
& ((dat2$Type1 =="insertion" & dat2$Type2 =="insertion")
| (dat2$Type1 =="insertion" & is.na(dat2$Type2))
| (is.na(dat2$Type1) & dat2$Type2 =="insertion")
| (dat2$Type1 == "-"
& dat2$Type2 == "-" & dat2$Type == "insertion")
| (dat2$Type == "insertion"))),]
dat2UnfilteredFrequency <- dat2[which(((
as.character(dat2$Type) == "duplication") |
(as.character(dat2$Type) == "duplication_split") |
(as.character(dat2$Type) == "duplication_inverted") |
(as.character(dat2$Type) == "insertion"))
& (dat2$perc_ref_query >= perc_similarity
& dat2$perc_query_ref >= perc_similarity)
& (as.character(dat2$FamilyID) != svfamid)),]
if (nrow(dat2FrequencyDuplication) > 0 &
nrow(dat2Insertion) > 0){
dat2Frequency <- rbind(
dat2FrequencyDuplication, dat2Insertion
)
}
else if(nrow(dat2FrequencyDuplication) > 0 &
nrow(dat2Insertion) == 0){
dat2Frequency <- dat2FrequencyDuplication
}
else if(nrow(dat2FrequencyDuplication) == 0 &
nrow(dat2Insertion) > 0){
dat2Frequency <- dat2Insertion
}
else{dat2Frequency <- c()}
##Calculating filtered Frequency INDEL
##Filtration
##Filtered
if (is.null(dat2Frequency)){
filtFreq = 0
cntHomozygotes = 0
}
else if (nrow(dat2Frequency) > 0){
countfre1 <- 0
dat2Homozygotes <- data.frame(dat2Frequency
%>% mutate(Homozygo = .data$Zygosity=="homozygous")
%>% group_by(.data$nanoID)
%>% summarise (Homozygotes = sum(.data$Homozygo)))
cntHomozygotes <- sum(dat2Homozygotes$Homozygo)
dat2Homozygotes [,2] <- ifelse(
dat2Homozygotes[,2] > 0, 2, 0
)
dat2Heterozygotes <- data.frame(dat2Frequency
%>% mutate(Heterozygo = .data$Zygosity == "heterozygous")
%>% group_by(.data$nanoID)
%>% summarise (Heterozygotes = sum(.data$Heterozygo)))
dat2Heterozygotes [,2] <- ifelse(
dat2Heterozygotes[,2] > 0, 1, 0
)
dat2Unknown <- data.frame(dat2Frequency
%>% mutate(Unknown = .data$Zygosity == "unknown")
%>% group_by(.data$nanoID)
%>% summarise (Unknown = sum(.data$Unknown)))
dat2Unknown [,2] <- ifelse(
dat2Unknown[,2] > 0, 2, 0
)
dat2filtFreq <- data.frame(
NR = dat2Homozygotes[,1],
Homozygote = dat2Homozygotes[,2],
Heterozygotes = dat2Heterozygotes[,2],
Unknown = dat2Unknown[,2])
row.names(dat2filtFreq) <- as.character(
dat2Homozygotes[,1]
)
dat2filtFreq$RowSum <- ifelse((
dat2filtFreq$Heterozygotes ==1
& (dat2filtFreq$Homozygote == 0
& dat2filtFreq$Unknown == 0)), 1, 2)
filtFreq <- sum(dat2filtFreq$RowSum)
} else{
filtFreq = 0
cntHomozygotes = 0
}
###Unfiltered
if (is.null(dat2UnfilteredFrequency)){
filtFreq = 0
cntHomozygotes = 0
}
else if (nrow(dat2UnfilteredFrequency) > 0){
dat2Homozygotes <- data.frame(dat2UnfilteredFrequency
%>% mutate(Homozygo=.data$Zygosity=="homozygous")
%>% group_by(.data$nanoID)
%>% summarise (Homozygotes = sum(.data$Homozygo)))
#cntHomozygotes <- sum(dat2Homozygotes$Homozygotes)
dat2Homozygotes [,2] <- ifelse(
dat2Homozygotes[,2] > 0, 2, 0
)
dat2Heterozygotes <- data.frame(
dat2UnfilteredFrequency
%>% mutate(
Heterozygo = .data$Zygosity == "heterozygous"
)
%>% group_by(.data$nanoID)
%>% summarise (Heterozygotes = sum(.data$Heterozygo))
)
dat2Heterozygotes [,2] <- ifelse(
dat2Heterozygotes[,2] > 0, 1, 0
)
dat2Unknown <- data.frame(
dat2UnfilteredFrequency
%>% mutate(Unknown = .data$Zygosity == "unknown")
%>% group_by(.data$nanoID)
%>% summarise (Unknown = sum(.data$Unknown)))
dat2Unknown [,2] <- ifelse(
dat2Unknown[, 2] > 0, 2, 0
)
dat2unfiltFreq <- data.frame(
Homozygote = dat2Homozygotes[,2],
Heterozygotes = dat2Heterozygotes[,2],
Unknown = dat2Unknown[,2]
)
row.names(dat2unfiltFreq) <- as.character(
dat2Homozygotes[,1]
)
dat2unfiltFreq$RowSum <- ifelse(
(dat2unfiltFreq$Heterozygotes ==1
& (dat2unfiltFreq$Homozygote == 0
& dat2unfiltFreq$Unknown == 0)), 1, 2)
UnfilteredFrequency = sum(dat2unfiltFreq$RowSum)
} else{
UnfilteredFrequency = 0
}
dat2DadEqual <- rbind(dat2DadEqual_duplication, dat2DadEqual_insertion)
dat2MomEqual <- rbind(dat2MomEqual_duplication, dat2MomEqual_insertion)
dat2DadRange <- rbind(dat2DadRange_duplication, dat2DadRange_insertion)
dat2MomRange <- rbind(dat2MomRange_duplication, dat2MomRange_insertion)
##Calculating filtered Frequency INDEL
##Zygosity Parent
if(length(dat2DadEqual$Zygosity) > 0){
if(length(as.character(unique
(dat2DadEqual$Zygosity))) == 1){
fatherZygosity<-as.character(
unique(dat2DadEqual$Zygosity)
)
}else {
fatherZygosity <- paste(
as.character(dat2DadEqual$Zygosity),
collapse = ","
)
}
} else if (length(dat2DadRange$Zygosity) > 0){
fatherzygosity <- as.character(dat2DadRange$Zygosity)
fatherZygosity1 <- gsub("-", NA, fatherzygosity)
fatherZygosity1 <- as.character(
na.omit(fatherZygosity1)
)
if(length(fatherZygosity1) == 1){
fatherZygosity<-as.character(
unique(fatherZygosity1)
)
}
else {
fatherZygosity <- paste(
as.character(fatherZygosity1),
collapse = ","
)
}
} else {
fatherZygosity <- "-"
}
###Mother Zygosity
if(length(dat2MomEqual$Zygosity) > 0){
if(length(as.character(unique
(dat2MomEqual$Zygosity))) == 1){
motherZygosity<-as.character(
unique(dat2MomEqual$Zygosity)
)
}else {
motherZygosity <- paste(
as.character(dat2MomEqual$Zygosity),
collapse = ","
)
}
} else if (length(dat2MomRange$Zygosity) > 0){
motherZygosity <- as.character(dat2MomRange$Zygosity)
motherZygosity1 <- gsub("-", NA, motherZygosity)
motherZygosity1 <- as.character(
na.omit(motherZygosity1)
)
if(length(motherZygosity1) == 1){
motherZygosity<-as.character(
unique(motherZygosity1)
)
}
else {
motherZygosity <- paste(
as.character(motherZygosity1),
collapse = ","
)
}
} else {
motherZygosity <- "-"
}
famno <- unname(hash::values(ha2, keys = sampID))
fampas <- paste("^",as.character(
famindexfile$Tag),"$",sep=""
)
famnopas <- paste("^",as.character(famno),"$",sep="")
famnumb <- length(grep(famnopas, fampas, fixed=TRUE))
data1 <- data.frame(dat1[nn, ],
Internal_Freq_Perc_Filtered =
as.numeric(format(round(
(filtFreq/(2*(usamp - famnumb))) * 100,digits=3)
, scientific = FALSE)),
Internal_Freq_Perc_Unfiltered =
as.numeric
(format(round((UnfilteredFrequency/
(2*(usamp - famnumb))) * 100,digits=3),
scientific = FALSE)),
Internal_Homozygotes=as.numeric(cntHomozygotes),
MotherZygosity = as.character(motherZygosity),
FatherZygosity = as.character(fatherZygosity),
stringsAsFactors = FALSE)
datf <- rbind(datf, data1)
}
else if (nrow(dat2) == 1){
# dgv_match=TRUE Calculating percentage similarity
countfre <- 0;countfreunfilt<-0
svv <- dat2$nanoID
#size_internal <- dat2$Size
conf <- dat2$Confidence
#Found_in_SE_self_molecules <- dat2$Found_in_SE_self_molecules
#dat2$Fail_assembly_chimeric_score_SE_DLE <- dat2$dat2$Fail_assembly_chimeric_score_SE_DLE
BSPQI_status_DB <-
as.character(dat2$Found_in_self_BSPQI_molecules)
BSSSI_status_DB <-
as.character(dat2$Found_in_self_BSSSI_molecules)
BSPQI_chimeric_score_DB <- as.character(
dat2$Fail_BSPQI_assembly_chimeric_score
)
BSSSI_chimeric_score_DB <- as.character(
dat2$Fail_BSSSI_assembly_chimeric_score
)
Found_in_SE_self_molecules <- dat2$Found_in_SE_self_molecules
Fail_assembly_chimeric_score_SE <- dat2$Fail_assembly_chimeric_score_SE
perc_ref_query <- as.numeric(dat2$Size)/size1
perc_query_ref <- size1/as.numeric(dat2$Size)
#svv <- strsplit(as.character(svfam1), split = "_")
zygo <- as.character(dat2$Zygosity)
stt <- strsplit(as.character(svv), split = "[.]")
patID1 <- stt[[1]][2]
homozygo<-c()
svfamid1 <- stt[[1]][1]
motherZygosity <- ""
fatherZygosity <- ""
type <- as.character(dat2$Type)
typ1 <- as.character(dat2$Type1)
typ2 <- as.character(dat2$Type2)
#print(type)
if (((dat2$RefStartPos >= rf_wb_int_parents[nn])
& (dat2$RefEndPos <= re_fb_int_parents[nn]))
& ((identical(type, "duplication")
| identical(type, "duplication_split")|
identical(type, "duplication_inverted")))
& (perc_ref_query >= perc_similarity_parents
& perc_query_ref >= perc_similarity_parents)
& (identical(svfamid1, svfamid)) )
{
'print(type)
print(svfamid1)
print(svfamid)
print(BSPQI_status_DB)
print(BSSSI_status_DB)
print(paste(ii,":",nn))'
# Family Extra column zygosity
if (patID == 1 & patID1 == 2){
motherZygosity <- as.character(zygo)
fatherZygosity <- "-"
}
else if (patID == 1 & patID1 == 3){
motherZygosity <- "-"
fatherZygosity <- as.character(zygo)
}
else if (patID == patID1){
motherZygosity <- "-"
fatherZygosity <- "-"
}
else{
motherZygosity <- "-"
fatherZygosity <- "-"
}
}
else if (((identical(type, "duplication")
| identical(type, "duplication_split")
| identical(type, "duplication_inverted")))
& (perc_ref_query >= perc_similarity
& perc_query_ref >= perc_similarity)
& !(identical(svfamid1, svfamid))
& ((BSPQI_status_DB == "yes"
& BSSSI_status_DB == "yes")
| (BSPQI_status_DB == "no"
& BSSSI_status_DB == "yes")
| (BSPQI_status_DB == "yes"
& BSSSI_status_DB == "no")
| (BSPQI_status_DB == "yes"
& BSSSI_status_DB == "-")
| (BSPQI_status_DB == "-"
& BSSSI_status_DB == "yes")
| (Found_in_SE_self_molecules == "yes"))
& ((BSPQI_chimeric_score_DB == "pass"
& BSSSI_chimeric_score_DB == "pass")
| (BSPQI_chimeric_score_DB == "fail"
& BSSSI_chimeric_score_DB == "pass")
| (BSPQI_chimeric_score_DB == "pass"
& BSSSI_chimeric_score_DB == "fail")
| (BSPQI_chimeric_score_DB == "pass"
& BSSSI_chimeric_score_DB == "-")
| (BSPQI_chimeric_score_DB == "-"
& BSSSI_chimeric_score_DB == "pass")
| (Fail_assembly_chimeric_score_SE == "pass"))
& ((typ1=="duplication" & typ2=="duplication")
| (typ1=="duplication" & is.na(typ2))
| (is.na(typ1) & typ2=="duplication")
| (typ1=="duplication_split"
& typ2=="duplication_split")
| (typ1=="duplication_split" & is.na(typ2))
| (is.na(typ1) & typ2=="duplication_split")
| (typ1=="duplication_inverted"
& typ2=="duplication_inverted")
| (typ1=="duplication_inverted" & is.na(typ2))
| (is.na(typ1) & typ2=="duplication_inverted")
| (typ1=="-" & typ2=="-" & type == "duplication")
| (typ1=="-" & typ2=="-"
& type == "duplication_inverted")
| (typ1=="-" & typ2=="-"
& type == "duplication_split"))){
if(zygo=="homozygous"){
countfre <- 2
}
else if(zygo=="unknown"){
countfre <- 2
}
else{
countfre <- 1
}
if(as.character(zygo)=="homozygous"){
homozygo <- as.character(svfamid1)
}
else{
homozygo<- NULL
}
motherZygosity <- "-"
fatherZygosity <- "-"
'motherZygosity <- "-"
fatherZygosity <- "-"'
}
else if (((identical(type, "insertion"))) &
(identical(svfamid1, svfamid)) &
((dat2$RefStartPos >= rf_wb_int_parents[nn]) &
(dat2$RefEndPos <= re_fb_int_parents[nn]))
& (perc_ref_query >= perc_similarity_parents
& perc_query_ref >= perc_similarity_parents)){
# Family Extra column zygosity
if (patID == 1 & patID1 == 2){
motherZygosity <- as.character(zygo)
fatherZygosity <- "-"
}
else if (patID == 1 & patID1 == 3){
motherZygosity <- "-"
fatherZygosity <- as.character(zygo)
}
else if (patID == patID1){
motherZygosity <- "-"
fatherZygosity <- "-"
}
else {
motherZygosity <- "-"
fatherZygosity <- "-"
}
}
else if (((identical(type, "insertion"))) &
!(identical(svfamid1, svfamid))
& (perc_ref_query >= perc_similarity
& perc_query_ref >= perc_similarity)
& ((BSPQI_status_DB == "yes" &
BSSSI_status_DB == "yes") |
(BSPQI_status_DB == "no" &
BSSSI_status_DB == "yes") |
(BSPQI_status_DB == "yes" &
BSSSI_status_DB == "no") |
(BSPQI_status_DB == "yes" &
BSSSI_status_DB == "-") |
(BSPQI_status_DB == "-" &
BSSSI_status_DB == "yes")
| (Found_in_SE_self_molecules == "yes")) &
((size_internal>=limsize)) &
(conf > indelconf) &
((typ1=="insertion" & typ2=="insertion") |
(typ1=="insertion" & is.na(typ2)) |
(is.na(typ1) & typ2=="insertion")
| (typ1=="-" & typ2=="-" & type == "insertion"))){
if(zygo=="homozygous"){
countfre <- 2
}
else if(zygo=="unknown"){
countfre <- 2
}
else{
countfre <- 1
}
if(as.character(zygo)=="homozygous"){
homozygo <- as.character(svfamid1)
}
else{
homozygo <- NULL
}
motherZygosity <- "-"
fatherZygosity <- "-"
}
else {
countfre <- 0
motherZygosity <- "-"
fatherZygosity <- "-"
}
if (((identical(type, "duplication") |
identical(type, "duplication_split")|
identical(type, "duplication_inverted")|
identical(type, "insertion")))
& (perc_ref_query >= perc_similarity
& perc_query_ref >= perc_similarity)
& !(identical(svfamid1, svfamid))){
if(zygo=="homozygous"){
countfreunfilt <- 2
}
else if(zygo=="unknown"){
countfreunfilt <- 2
}
else{
countfreunfilt <- 1
}
}
else{
countfreunfilt <- 0
}
if(length(homozygo)>0){
homozygo <- length(homozygo)
}
else{
homozygo= 0
}
famno <- as.numeric(unname(hash::values(ha, keys = svfamid)
))
data1 <- data.frame(dat1[nn, ],
Internal_Freq_Perc_Filtered =
as.numeric(format(round((countfre/(2*(usamp - famno)))
* 100,digits=3), scientific = FALSE)),
Internal_Freq_Perc_Unfiltered = as.numeric(format(round((
countfreunfilt/(2*(usamp - famno))) * 100,digits=3), scientific = FALSE)),
Internal_Homozygotes=as.numeric(homozygo),
MotherZygosity = as.character(motherZygosity),
FatherZygosity = as.character(fatherZygosity),
stringsAsFactors = FALSE)
datf <- rbind(datf, data1)
}
else
{
# dgv_match=FALSE
data1 <- data.frame(dat1[nn, ],
Internal_Freq_Perc_Filtered = 0,
Internal_Freq_Perc_Unfiltered = 0,
Internal_Homozygotes= 0,
MotherZygosity = "-",
FatherZygosity = "-",
stringsAsFactors = FALSE)
#### print(dim(data1)) print(names(data1)[56:58])
#### print(names(datf)[56:58])
#### print(identical((names(data1)[56]),(names(datf)[56])))
#### print(identical((names(data1)[57]),(names(datf)[57])))
#### print(identical((names(data1)[58]),(names(datf)[58])))
datf <- rbind(datf, data1)
# next;
}
}
else if ((length(grep("inversion", variantType2[nn])) >= 1) |
(length(grep("translocation", variantType2[nn])) >= 1)) {
if((length(grep("translocation", variantType2[nn])) >= 1)){
dat2 <- dat[which(((dat$RefStartPos <= rf[nn] &
dat$RefStartPos >= rf_wb_ind[nn]) |
(dat$RefStartPos >= rf[nn] & dat$RefStartPos <=
rf_fb_ind[nn])) & ((dat$RefEndPos >= re[nn] &
dat$RefEndPos <= re_wf_ind[nn]) |
(dat$RefEndPos <= re[nn] & dat$RefEndPos >= re_wb_ind[nn]))
), ]
size1 <- size_bn[nn]
dat2$perc_ref_query <- rep(0, nrow(dat2))
dat2$perc_query_ref <- rep(0, nrow(dat2))
}else {
dat2 <-dat[which((dat$RefStartPos >= rf_wb_ind[nn]
& dat$RefEndPos <= re_wf_ind[nn])),]
size1 <- size_bn[nn]
## Calculating Internal Frequency
dat2$perc_ref_query <- as.numeric(dat2$Size)/size1
dat2$perc_query_ref <- size1/as.numeric(dat2$Size)
}
## Writing if the dgv_match is TRUE or not
if (nrow(dat2) > 1){
#dat2$perc <- as.numeric(dat2$Size)/size1
stt12 <- str_split(as.character(dat2$nanoID), pattern = "\\.")
famid <- c(); relnid <- c()
dat2$FamilyID <- sapply(stt12, function(x) x[1])
dat2$RelationID <- sapply(stt12, function(x) x[2])
if((length(grep("inversion", variantType2[nn])) >= 1)){
dat2MomEqual <- dat2[which(((dat2$RefStartPos ==rf[nn])
& (dat2$RefEndPos==re[nn]))
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (dat2$RefcontigID2 == chromo2[nn])
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 2)),]
dat2DadEqual <- dat2[which(((dat2$RefStartPos ==rf[nn])
& (dat2$RefEndPos==re[nn]))
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (dat2$RefcontigID2 == chromo2[nn])
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 3)),]
dat2MomRange <- dat2[which(((
dat2$RefStartPos >= rf_wb_int_parents[nn])
& (dat2$RefEndPos <= re_fb_int_parents[nn]))
& (dat2$RefcontigID2 == chromo2[nn])
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 2)),]
dat2DadRange <- dat2[which(((
dat2$RefStartPos >= rf_wb_int_parents[nn])
& (dat2$RefEndPos <= re_fb_int_parents[nn]))
& (dat2$RefcontigID2 == chromo2[nn])
& (dat2$perc_ref_query >= perc_similarity_parents
& dat2$perc_query_ref >= perc_similarity_parents)
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 3)),]
dat2UnfilteredFrequency <- dat2[which((
(dat2$RefcontigID2 == chromo2[nn])
& (dat2$perc_ref_query >= perc_similarity
& dat2$perc_query_ref >= perc_similarity)
& ((as.character(dat2$Type) == "inversion")
& (as.character(dat2$FamilyID) != svfamid)))),]
}else{
dat2MomEqual <- dat2[which(((dat2$RefStartPos ==rf[nn])
& (dat2$RefEndPos==re[nn]))
& (dat2$RefcontigID2 == chromo2[nn])
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 2)),]
dat2DadEqual <- dat2[which(((dat2$RefStartPos ==rf[nn])
& (dat2$RefEndPos==re[nn]))
& (dat2$RefcontigID2 == chromo2[nn])
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 3)),]
dat2MomRange <- dat2[which(((
dat2$RefStartPos >= rf_wb_int_parents[nn])
& (dat2$RefEndPos <= re_fb_int_parents[nn]))
& (dat2$RefcontigID2 == chromo2[nn])
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 2)),]
dat2DadRange <- dat2[which(((
dat2$RefStartPos >= rf_wb_int_parents[nn])
& (dat2$RefEndPos <= re_fb_int_parents[nn]))
& (dat2$RefcontigID2 == chromo2[nn])
& (as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) == svfamid)
& (patID == 1 & dat2$RelationID == 3)),]
dat2UnfilteredFrequency <- dat2[which((
(dat2$RefcontigID2 == chromo2[nn])
& ((as.character(dat2$Type) == variantType2[nn])
& (as.character(dat2$FamilyID) != svfamid)))),]
}
dat2Frequencyinvtrans <- dat2[which(((
as.character(dat2$Type) == "inversion" &
as.numeric(dat2$Confidence) >= invconf
& (dat2$perc_ref_query >= perc_similarity
& dat2$perc_query_ref >= perc_similarity)
& ((dat2$Type1 =="inversion" & dat2$Type2 =="inversion")
| (dat2$Type1 =="inversion" & is.na(dat2$Type2))
| (is.na(dat2$Type1) & dat2$Type2 =="inversion")
| (dat2$Type1 == "-"
& dat2$Type2 == "-" & dat2$Type == "inversion")))|
((as.character(dat2$Type) == "translocation_intrachr"
| as.character(dat2$Type) == "translocation_interchr"
| as.character(dat2$Type) == "translocation")
& (as.numeric(dat2$Confidence) >= transconf)
& ((dat2$Type1 =="translocation" &
dat2$Type2 =="translocation") |
(dat2$Type1 =="translocation"
& is.na(dat2$Type2)) |
(is.na(dat2$Type1) & dat2$Type2 =="translocation")
| (dat2$Type1 == "translocation_intrachr"
& dat2$Type2 == "translocation_intrachr") |
(dat2$Type1 == "translocation_intrachr"
& is.na(dat2$Type2)) |
(is.na(dat2$Type1)
& dat2$Type2 =="translocation_intrachr")
| (dat2$Type1 == "translocation_interchr"
& dat2$Type2 == "translocation_interchr")
|(dat2$Type1 == "translocation_interchr"
& is.na(dat2$Type2)) |
(is.na(dat2$Type1)
& dat2$Type2 =="translocation_interchr")
| (dat2$Type1 == "-" & dat2$Type2 == "-"
& dat2$Type == "translocation_interchr")
| (dat2$Type1 == "-" & dat2$Type2 == "-"
& dat2$Type == "translocation")
| (dat2$Type1 == "-" & dat2$Type2 == "-"
& dat2$Type == "translocation_intrachr"))))
& (as.character(dat2$FamilyID) != svfamid)
& (dat2$RefcontigID2 == chromo2[nn])
&((dat2$Found_in_self_BSPQI_molecules == "yes" &
dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_self_BSPQI_molecules == "no"
& dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_self_BSPQI_molecules == "yes"
& dat2$Found_in_self_BSSSI_molecules == "no")
| (dat2$Found_in_self_BSPQI_molecules == "yes"
& dat2$Found_in_self_BSSSI_molecules == "-")
| (dat2$Found_in_self_BSPQI_molecules == "-"
& dat2$Found_in_self_BSSSI_molecules == "yes")
| (dat2$Found_in_SE_self_molecules == "yes"))
& ((dat2$Fail_BSPQI_assembly_chimeric_score == "pass"
& dat2$Fail_BSSSI_assembly_chimeric_score == "pass")
| (dat2$Fail_BSPQI_assembly_chimeric_score == "fail"
& dat2$Fail_BSSSI_assembly_chimeric_score == "pass")
| (dat2$Fail_BSPQI_assembly_chimeric_score == "pass"
& dat2$Fail_BSSSI_assembly_chimeric_score == "fail")
| (dat2$Fail_BSPQI_assembly_chimeric_score == "pass"
& dat2$Fail_BSSSI_assembly_chimeric_score == "-")
| (dat2$Fail_BSPQI_assembly_chimeric_score == "-"
& dat2$Fail_BSSSI_assembly_chimeric_score == "pass")
| (dat2$Fail_assembly_chimeric_score_SE == "pass"))),]
dat2Frequency <- dat2Frequencyinvtrans
##Filtered
if (is.null(dat2Frequency)){
filtFreq = 0
cntHomozygotes = 0
}
else if (nrow(dat2Frequency) > 0){
#print(0)
countfre1 <- 0
dat2Homozygotes <- data.frame(dat2Frequency
%>% mutate(Homozygo = .data$Zygosity=="homozygous")
%>% group_by(.data$nanoID)
%>% summarise (Homozygotes = sum(.data$Homozygo)))
cntHomozygotes <- sum(dat2Homozygotes$Homozygo)
dat2Homozygotes [,2] <- ifelse(
dat2Homozygotes[,2] > 0, 2, 0
)
dat2Heterozygotes <- data.frame(dat2Frequency
%>% mutate(Heterozygo = .data$Zygosity == "heterozygous")
%>% group_by(.data$nanoID)
%>% summarise (Heterozygotes = sum(.data$Heterozygo)))
dat2Heterozygotes [,2] <- ifelse(
dat2Heterozygotes[,2] > 0, 1, 0
)
dat2Unknown <- data.frame(dat2Frequency
%>% mutate(Unknown = .data$Zygosity == "unknown")
%>% group_by(.data$nanoID)
%>% summarise (Unknown = sum(.data$Unknown)))
dat2Unknown [,2] <- ifelse(
dat2Unknown[,2] > 0, 2, 0
)
dat2filtFreq <- data.frame(
NR = dat2Homozygotes[,1],
Homozygote = dat2Homozygotes[,2],
Heterozygotes = dat2Heterozygotes[,2],
Unknown = dat2Unknown[,2]
)
row.names(dat2filtFreq) <- as.character(
dat2Homozygotes[,1]
)
dat2filtFreq$RowSum <- ifelse((
dat2filtFreq$Heterozygotes ==1
& (dat2filtFreq$Homozygote == 0
& dat2filtFreq$Unknown == 0)), 1, 2)
filtFreq <- sum(dat2filtFreq$RowSum)
} else{
filtFreq = 0
cntHomozygotes = 0
}
###Unfiltered
if (is.null(dat2UnfilteredFrequency)){
filtFreq = 0
cntHomozygotes = 0
}
else if (nrow(dat2UnfilteredFrequency) > 0){
dat2Homozygotes <- data.frame(dat2UnfilteredFrequency
%>% mutate(Homozygo=.data$Zygosity=="homozygous")
%>% group_by(.data$nanoID)
%>% summarise (Homozygotes = sum(.data$Homozygo)))
#cntHomozygotes <- sum(dat2Homozygotes$Homozygotes)
dat2Homozygotes [,2] <- ifelse(
dat2Homozygotes[,2] > 0, 2, 0
)
dat2Heterozygotes <- data.frame(
dat2UnfilteredFrequency
%>% mutate(
Heterozygo = .data$Zygosity == "heterozygous"
)
%>% group_by(.data$nanoID)
%>% summarise (Heterozygotes = sum(.data$Heterozygo))
)
dat2Heterozygotes [,2] <- ifelse(
dat2Heterozygotes[,2] > 0, 1, 0
)
dat2Unknown <- data.frame(
dat2UnfilteredFrequency
%>% mutate(Unknown = .data$Zygosity == "unknown")
%>% group_by(.data$nanoID)
%>% summarise (Unknown = sum(.data$Unknown))
)
dat2Unknown [,2] <- ifelse(
dat2Unknown[, 2] > 0, 2, 0
)
dat2unfiltFreq <- data.frame(
Homozygote = dat2Homozygotes[,2],
Heterozygotes = dat2Heterozygotes[,2],
Unknown = dat2Unknown[,2])
row.names(dat2unfiltFreq) <- as.character(dat2Homozygotes[,1])
dat2unfiltFreq$RowSum <- ifelse((
dat2unfiltFreq$Heterozygotes ==1
& (dat2unfiltFreq$Homozygote == 0
& dat2unfiltFreq$Unknown == 0)), 1, 2)
UnfilteredFrequency = sum(dat2unfiltFreq$RowSum)
} else{
UnfilteredFrequency = 0
}
##Calculating filtered Frequency INDEL
##Zygosity Parent
if(length(dat2DadEqual$Zygosity) > 0){
if(length(as.character(unique
(dat2DadEqual$Zygosity))) == 1){
fatherZygosity<-as.character(
unique(dat2DadEqual$Zygosity)
)
}else {
fatherZygosity <- paste(
as.character(dat2DadEqual$Zygosity),
collapse = ","
)
}
} else if (length(dat2DadRange$Zygosity) > 0){
fatherzygosity <- as.character(dat2DadRange$Zygosity)
fatherZygosity1 <- gsub("-", NA, fatherzygosity)
fatherZygosity1 <- as.character(
na.omit(fatherZygosity1)
)
if(length(fatherZygosity1) == 1){
fatherZygosity<-as.character(
unique(fatherZygosity1)
)
}
else {
fatherZygosity <- paste(
as.character(fatherZygosity1),
collapse = ","
)
}
} else {
fatherZygosity <- "-"
}
###Mother Zygosity
if(length(dat2MomEqual$Zygosity) > 0){
if(length(as.character(unique
(dat2MomEqual$Zygosity))) == 1){
motherZygosity<-as.character(unique(
dat2MomEqual$Zygosity)
)
}else {
motherZygosity <- paste(
as.character(dat2MomEqual$Zygosity),
collapse = ","
)
}
} else if (length(dat2MomRange$Zygosity) > 0){
motherZygosity <- as.character(dat2MomRange$Zygosity)
motherZygosity1 <- gsub("-", NA, motherZygosity)
motherZygosity1 <- as.character(
na.omit(motherZygosity1)
)
if(length(motherZygosity1) == 1){
motherZygosity<-as.character(
unique(motherZygosity1)
)
}
else {
motherZygosity <- paste(
as.character(motherZygosity1),
collapse = ","
)
}
} else {
motherZygosity <- "-"
}
famno <- unname(hash::values(ha2, keys = sampID))
fampas <- paste("^",as.character(famindexfile$Tag),"$",
sep="")
famnopas <- paste("^",as.character(famno),"$",sep="")
famnumb <- length(grep(famnopas, fampas, fixed=TRUE))
data1 <- data.frame(dat1[nn, ],
Internal_Freq_Perc_Filtered =
as.numeric(format(round(
(filtFreq/(2*(usamp - famnumb))) * 100,digits=3) , scientific = FALSE)),
Internal_Freq_Perc_Unfiltered = as.numeric(format(round((
UnfilteredFrequency/(2*(usamp - famnumb))) * 100,digits=3),
scientific = FALSE)),
Internal_Homozygotes=as.numeric(cntHomozygotes),
MotherZygosity = as.character(motherZygosity),
FatherZygosity = as.character(fatherZygosity),
stringsAsFactors = FALSE)
datf <- rbind(datf, data1)
}
else if (nrow(dat2) == 1)
{
## dgv_match=TRUE Calculating percentage similarity
countfre<-0;countfreunfilt<-0
chrom2<-dat2$RefcontigID2
svv <- dat2$nanoID
zygo <- as.character(dat2$Zygosity)
stt <- strsplit(as.character(svv), split = "[.]")
type <- as.character(dat2$Type)
typ1 <- as.character(dat2$Type1)
typ2 <- as.character(dat2$Type2)
patID1 <- stt[[1]][2]
svfamid1 <- stt[[1]][1]
conf <- dat2$Confidence
perc_ref_query <- dat2$perc_ref_query
perc_query_ref <- dat2$perc_query_ref
homozygo<-c()
#dat2$Fail_assembly_chimeric_score_SE_DLE <- dat2$dat2$Fail_assembly_chimeric_score_SE_DLE
Found_in_SE_self_molecules <- dat2$Found_in_SE_self_molecules
Fail_assembly_chimeric_score_SE <- dat2$Fail_assembly_chimeric_score_SE
BSPQI_status_DB <- as.character(
dat2$Found_in_self_BSPQI_molecules)
BSSSI_status_DB <- as.character(
dat2$Found_in_self_BSSSI_molecules)
BSPQI_chimeric_score_DB <- as.character(
dat2$Fail_BSPQI_assembly_chimeric_score)
BSSSI_chimeric_score_DB <- as.character(
dat2$Fail_BSSSI_assembly_chimeric_score)
if((length(grep("inversion", variantType2[nn])) >= 1)){
if (((dat2$RefStartPos >= rf_wb_int_parents[nn])
& (dat2$RefEndPos <= re_fb_int_parents[nn]))
& (perc_ref_query >= perc_similarity_parents
& perc_query_ref >= perc_similarity_parents)
& identical(chrom2,chromo2[nn])
& identical(type, variantType2[nn])
& identical(svfamid1, svfamid)){
# Family Extra column zygosity
if (patID == 1 & patID1 == 2){
#countfre <- countfre + 0
motherZygosity <- as.character(zygo)
fatherZygosity <- "-"
}
else if (patID == 1 & patID1 == 3){
#countfre <- countfre + 0
motherZygosity <- "-"
fatherZygosity <- as.character(zygo)
}
else if (patID == patID1){
#countfre <- countfre + 0
motherZygosity <- "-"
fatherZygosity <- "-"
}
else{
motherZygosity <- "-"
fatherZygosity <- "-"
}
}
else if (identical(chrom2,chromo2[nn]) &
identical(type,variantType2[nn])
& (perc_ref_query >= perc_similarity
& perc_query_ref >= perc_similarity)
& !(identical(svfamid1, svfamid)) &
((BSPQI_status_DB == "yes" &
BSSSI_status_DB == "yes") |
(BSPQI_status_DB == "no" &
BSSSI_status_DB == "yes") |
(BSPQI_status_DB == "yes" &
BSSSI_status_DB == "no") |
(BSPQI_status_DB == "yes" &
BSSSI_status_DB == "-") |
(BSPQI_status_DB == "-" &
BSSSI_status_DB == "yes")
|(Found_in_SE_self_molecules == "yes"))
&(conf > invconf)
& ((BSPQI_chimeric_score_DB == "pass"
& BSSSI_chimeric_score_DB == "pass") |
(BSPQI_chimeric_score_DB == "fail" &
BSSSI_chimeric_score_DB == "pass") |
(BSPQI_chimeric_score_DB == "pass" &
BSSSI_chimeric_score_DB == "fail") |
(BSPQI_chimeric_score_DB == "pass" &
BSSSI_chimeric_score_DB == "-") |
(BSPQI_chimeric_score_DB == "-" &
BSSSI_chimeric_score_DB == "pass")
|(Fail_assembly_chimeric_score_SE == "pass"))
& ((typ1=="inversion" & typ2=="inversion") |
(typ1=="inversion" & is.na(typ2)) |
(is.na(typ1) & typ2=="inversion")
| (typ1=="-" & typ2=="-" & type == "inversion"))){
if(zygo=="homozygous"){
countfre <- 2
}
else if(zygo=="unknown"){
countfre <- 2
}
else{
countfre <- 1
}
if(as.character(zygo)=="homozygous"){
homozygo<- as.character(svfamid1)
}
else{
homozygo<- NULL
}
motherZygosity <- "-"
fatherZygosity <- "-"
}
else {
countfre <- 0
motherZygosity <- "-"
fatherZygosity <- "-"
}
if (identical(chrom2,chromo2[nn]) &
identical(type, variantType2[nn])
& (perc_ref_query >= perc_similarity
& perc_query_ref >= perc_similarity)
& !(identical(svfamid1, svfamid)) ){
if(zygo=="homozygous"){
countfreunfilt <- 2
}
else if(zygo=="unknown"){
countfreunfilt <- 2
}
else{
countfreunfilt <- 1
}
}
else{
countfreunfilt <- 0
}
}else{
if (((dat2$RefStartPos >= rf_wb_int_parents[nn]) &
(dat2$RefEndPos <= re_fb_int_parents[nn])) &
identical(chrom2,chromo2[nn])&
identical(type, variantType2[nn]) &
(identical(svfamid1, svfamid))){
# Family Extra column zygosity
if (patID == 1 & patID1 == 2){
countfre <- countfre + 0
motherZygosity <- as.character(zygo)
fatherZygosity <- "-"
}
else if (patID == 1 & patID1 == 3){
countfre <- countfre + 0
motherZygosity <- "-"
fatherZygosity <- as.character(zygo)
}
else if (patID == patID1){
countfre <- countfre + 0
motherZygosity <- "-"
fatherZygosity <- "-"
}
else{
motherZygosity <- "-"
fatherZygosity <- "-"
}
}
else if (identical(chrom2,chromo2[nn]) &
identical(type,variantType2[nn]) &
!(identical(svfamid1, svfamid)) &
((BSPQI_status_DB == "yes" &
BSSSI_status_DB == "yes") |
(BSPQI_status_DB == "no" &
BSSSI_status_DB == "yes") |
(BSPQI_status_DB == "yes" &
BSSSI_status_DB == "no") |
(BSPQI_status_DB == "yes" &
BSSSI_status_DB == "-") |
(BSPQI_status_DB == "-" &
BSSSI_status_DB == "yes")
|(Found_in_SE_self_molecules == "yes"))
& (conf > transconf)
& ((BSPQI_chimeric_score_DB == "pass"
& BSSSI_chimeric_score_DB == "pass") |
(BSPQI_chimeric_score_DB == "fail" &
BSSSI_chimeric_score_DB == "pass") |
(BSPQI_chimeric_score_DB == "pass" &
BSSSI_chimeric_score_DB == "fail") |
(BSPQI_chimeric_score_DB == "pass" &
BSSSI_chimeric_score_DB == "-") |
(BSPQI_chimeric_score_DB == "-" &
BSSSI_chimeric_score_DB == "pass")
|(Fail_assembly_chimeric_score_SE == "pass"))
& ((typ1=="translocation" & typ2=="translocation")
| (typ1=="translocation" & is.na(typ2))
| (is.na(typ1) & typ2=="translocation")
| (typ1=="translocation_intrachr"
& typ2=="translocation_intrachr")
| (typ1=="translocation_intrachr" & is.na(typ2))
| (is.na(typ1) & typ2=="translocation_intrachr")
| (typ1=="translocation_interchr"
& typ2=="translocation_interchr")
| (typ1=="translocation_interchr" & is.na(typ2))
| (is.na(typ1) & typ2=="translocation_interchr")
| (typ1=="-" & typ2=="-" & type == "translocation")
| (typ1=="-" & typ2=="-"
& type == "translocation_interchr")
| (typ1=="-" & typ2=="-"
& type == "translocation_intrachr"))){
if(zygo=="homozygous"){
countfre <- 2
}
else if(zygo=="unknown"){
countfre <- 2
}
else{
countfre <- 1
}
if(as.character(zygo)=="homozygous"){
homozygo<- as.character(svfamid1)
}
else{
homozygo<- NULL
}
motherZygosity <- "-"
fatherZygosity <- "-"
}
else {
countfre <- countfre + 0
motherZygosity <- "-"
fatherZygosity <- "-"
}
if (identical(chrom2,chromo2[nn]) &
identical(type, variantType2[nn]) &
!(identical(svfamid1, svfamid)) ){
if(zygo=="homozygous"){
countfreunfilt <- 2
}
else if(zygo=="unknown"){
countfreunfilt <- 2
}
else{
countfreunfilt <- 1
}
}
else{
countfreunfilt <- 0
}
}
##Checking for whether there are any homozygous variants or
##not
if(length(homozygo)>0){
homozygo <- length(homozygo)
}
else{
homozygo= 0
}
##### print(paste('INVTRANS:',countfre,sep=''))
famno <- as.numeric(
unname(hash::values(ha, keys = svfamid)))
data1 <- data.frame(dat1[nn, ],
Internal_Freq_Perc_Filtered =
as.numeric(format(round((
countfre/(2*(usamp - famno))) * 100,digits=3), scientific = FALSE)),
Internal_Freq_Perc_Unfiltered = as.numeric(format(round((
countfreunfilt/(2*(usamp - famno))) * 100,digits=3), scientific = FALSE)),
Internal_Homozygotes=as.numeric(homozygo),
MotherZygosity = as.character(motherZygosity),
FatherZygosity = as.character(fatherZygosity),
stringsAsFactors = FALSE)
#### print(dim(data1))
datf <- rbind(datf, data1)
}
else{
data1 <- data.frame(dat1[nn, ],
Internal_Freq_Perc_Filtered= 0,
Internal_Freq_Perc_Unfiltered =0,
Internal_Homozygotes= 0, MotherZygosity = "-",
FatherZygosity = "-", stringsAsFactors = FALSE)
#### print(dim(data1))
datf <- rbind(datf, data1)
# next;
}
}
else{
#### print(paste('QueryData:',dim(dat1[nn,]),sep=''))
data1 <- data.frame(dat1[nn, ],
Internal_Freq_Perc_Filtered= 0,
Internal_Freq_Perc_Unfiltered = 0,
Internal_Homozygotes= 0, MotherZygosity = "-",
FatherZygosity = "-", stringsAsFactors = FALSE)
#### print(dim(data1))
datf <- rbind(datf, data1)
}
}
dataFinal <- rbind(dataFinal, datf)
}
if(returnMethod=="Text"){
st1 <- strsplit(smap, ".txt")
fname <- st1[[1]][1]
row.names(dataFinal) <- c()
filenam<-paste(fname,"_Int.txt",sep="")
write.table(dataFinal, file.path(smappath, fname), sep = "\t",
row.names = FALSE)
}
else if (returnMethod=="dataFrame"){
return(dataFinal)
}
else{
stop("returnMethod Incorrect")
}
}
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