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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