| GetModRatioByContig | R Documentation |
Return a list with the Modification ratio (Mod ratio) by strand for all scaffolds of genome assembly provided. For "b" as the base that can be modified, Mod ratio = Number of modified "b" / Total number of "b".
GetModRatioByContig( grangesModPos, gposModTargetBasePos, dnastringsetGenome, cBaseLetterForMod )
grangesModPos |
A GRanges object containing Modifications Positions data. |
gposModTargetBasePos |
A GPos object containing Base Positions that can be targeted by the modification. |
dnastringsetGenome |
A DNAStringSet object containing the sequence for each contig. |
cBaseLetterForMod |
The name of the base letter of the modified base. |
# loading genome
myGenome <- Biostrings::readDNAStringSet(system.file(
package = "DNAModAnnot", "extdata",
"ptetraurelia_mac_51_sca171819.fa"
))
# Preparing a grangesPacBioGFF and gposPacBioCSV datasets
myGrangesPacBioGFF <-
ImportPacBioGFF(
cPacBioGFFPath = system.file(
package = "DNAModAnnot", "extdata",
"ptetraurelia.modifications.sca171819.gff"
),
cNameModToExtract = "m6A",
cModNameInOutput = "6mA",
cContigToBeAnalyzed = names(myGenome)
)
myGposPacBioCSV <-
ImportPacBioCSV(
cPacBioCSVPath = system.file(
package = "DNAModAnnot", "extdata",
"ptetraurelia.bases.sca171819.csv"
),
cSelectColumnsToExtract = c(
"refName", "tpl", "strand", "base",
"score", "ipdRatio", "coverage"
),
lKeepExtraColumnsInGPos = TRUE, lSortGPos = TRUE,
cContigToBeAnalyzed = names(myGenome)
)
myGposPacBioCSV <- myGposPacBioCSV[myGposPacBioCSV$base == "A"]
# Mod report
myMod_ratio_list <- GetModRatioByContig(
grangesModPos = myGrangesPacBioGFF,
gposModTargetBasePos = myGposPacBioCSV,
dnastringsetGenome = myGenome,
cBaseLetterForMod = "A"
)
myMod_ratio_list
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