| DrawModBasePropDistFromFeature | R Documentation |
Return, in dataframes via a list, the counts (or proportion) of "Mod" (or "Base") positions by distance from feature positions. If the input list contains 4 GRanges, 4 dataframes ("Mod" vs featureStart; "Mod" vs featureEnd; "Base" vs featureStart; "Base" vs featureEnd) will be exported in the output instead of 2 dataframes ("Mod" vs featureStart; "Base" vs featureStart). "Mod": the base modified. "Base": the base letter of the modified base. Example: for Mod="6mA", Base="A"; for Mod="5mC", Base="C".
DrawModBasePropDistFromFeature(
listModCountsDistDataframe,
listBaseCountsDistDataframe,
cFeaturePosNames = c("Start", "End"),
cBaseMotif,
cModMotif,
nDensityBaseMotif = 50
)
listModCountsDistDataframe |
A list with 1 or 2 dataframe(s) containing "Mod" counts by distance to feature positions:
Must have the same length as the list provided with "listBaseCountsDistDataframe". |
listBaseCountsDistDataframe |
A list with 1 or 2 dataframe(s) containing "Base" counts by distance to feature positions:
Must have the same length as the list provided with "listModCountsDistDataframe". |
cFeaturePosNames |
A character vector returning the names of the feature positions provided. Defaults to c("Start","End").
|
cBaseMotif |
The name of the motif with the base letter of the modified base. |
cModMotif |
The name of the motif with the modification in the output. |
nDensityBaseMotif |
Numeric vector giving the density of the polygon made with the "Base" counts by distance to feature positions. |
# loading genome
myGenome <- Biostrings::readDNAStringSet(system.file(
package = "DNAModAnnot", "extdata",
"ptetraurelia_mac_51_sca171819.fa"
))
# loading annotation
library(rtracklayer)
myAnnotations <- readGFFAsGRanges(system.file(
package = "DNAModAnnot", "extdata",
"ptetraurelia_mac_51_annotation_v2.0_sca171819.gff3"
))
# Preparing a grangesPacBioGFF and a grangesPacBioCSV 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"]
# Retrieve, in a list, dataframes of ModBase counts per Distance values from feature positions
myModDistCountsList <- GetDistFromFeaturePos(
grangesAnnotations = myAnnotations,
cSelectFeature = "gene",
grangesData = myGrangesPacBioGFF,
lGetGRangesInsteadOfListCounts = FALSE,
lGetPropInsteadOfCounts = TRUE,
cWhichStrandVsFeaturePos = "both", nWindowSizeAroundFeaturePos = 600,
lAddCorrectedDistFrom5pTo3p = TRUE,
cFeaturePosNames = c("TSS", "TTS")
)
myBaseDistCountsList <- GetDistFromFeaturePos(
grangesAnnotations = myAnnotations,
cSelectFeature = "gene",
grangesData = myGposPacBioCSV,
lGetGRangesInsteadOfListCounts = FALSE,
lGetPropInsteadOfCounts = TRUE,
cWhichStrandVsFeaturePos = "both", nWindowSizeAroundFeaturePos = 600,
lAddCorrectedDistFrom5pTo3p = TRUE,
cFeaturePosNames = c("TSS", "TTS")
)
DrawModBasePropDistFromFeature(
listModCountsDistDataframe = myModDistCountsList,
listBaseCountsDistDataframe = myBaseDistCountsList,
cFeaturePosNames = c("TSS", "TTS"),
cBaseMotif = "A",
cModMotif = "6mA"
)
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