View source: R/cohortDB_comp.r
BNDBfrequency | R Documentation |
Calculates the internal frequencies of BNDB cohorts
BNDBfrequency(
internalBNDB,
smappath,
smap,
buildBNInternalDB = FALSE,
smapdata,
input_fmt_SV = c("Text", "dataFrame"),
dbOutput = c("dataframe", "text"),
BNDBpath,
BNDBpattern,
outpath,
win_indel = 10000,
win_inv_trans = 50000,
perc_similarity = 0.5,
indelconf = 0.5,
invconf = 0.01,
limsize = 1000,
transconf = 0.1,
returnMethod = c("Text", "dataFrame"),
EnzymeType = c("SVmerge", "SE")
)
internalBNDB |
character. Path to the merged SV files. |
smappath |
character. path to the query smap file. |
smap |
character. File name for the smap |
buildBNInternalDB |
boolean. Checking whether the merged BNDB file database exist. |
smapdata |
dataframe. smapdata in the form of dataframe. |
input_fmt_SV |
character. Choice between Text and DataFrame. |
dbOutput |
character. database output type. Options dataframe or text. |
BNDBpath |
character. Path to the BNDB file database. |
BNDBpattern |
character. pattern of the file names to merge. |
outpath |
character. Path to merged SV solo datasets. |
win_indel |
Numeric. Insertion and deletion error window. |
win_inv_trans |
Numeric. Inversion and translocation error window. |
perc_similarity |
Numeric . ThresholdPercentage similarity of the query SV and reference SV. |
indelconf |
Numeric. Threshold for insertion and deletion Score. |
invconf |
Numeric. Threshold for inversion Score. |
limsize |
Numeric. SV size limit. |
transconf |
Numeric. Threshold for translocation Score. |
returnMethod |
character. Choice between Text and DataFrame. |
EnzymeType |
Character. Type of enzyme. Options SVmerge and SE. |
Text file or data frames containing internalFrequency data.
path <- system.file("extdata", "Bionano_config/", package = "nanotatoR")
pattern <- "*_hg19_*"
smapName="GM24385_Ason_DLE1_VAP_trio5.smap"
smap = system.file("extdata", smapName, package="nanotatoR")
BNDBfrequency(smap = smap,
buildBNInternalDB=TRUE,
input_fmt_SV = "Text",
dbOutput="dataframe",
BNDBpath = path,
BNDBpattern = pattern,
outpath,
win_indel = 10000,
win_inv_trans = 50000,
perc_similarity = 0.5,
indelconf = 0.5,
invconf = 0.01,
limsize = 1000,
transconf = 0.1,
returnMethod=c("dataFrame"),
EnzymeType = c("SE"))
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