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Hi there,
I am using QDNAseq to call CNA in sWGS data. Initial results showed CNAs in centromeres areas of several chromosomes, recurrently in all samples (benign and tumor samples). I am trying to mask centromeres and telomeres, following the instructions:
I have tried those files, and also downloaded the ones shown in the tutorial:
bins$blacklist = calculateBlacklist(bins, bedFiles = c("/Downloads/wgEncodeDacMapabilityConsensusExcludable.bed",
"/Downloads/wgEncodeDukeMapabilityRegionsExcludable.bed"))
The error is the same;
...Error in as.vector(data) :
no method for coercing this S4 class to a vector
I checked calculateBlacklist(), tried step by step and the error appears at the end, when it tries to merge blacklist within bins object (Large AnnotateDataFrame):
blacklist <- future.apply::future_apply(bins, MARGIN = 1L, FUN = overlap.counter,
joined = joined)
"Error in as.vector(data) :
no method for coercing this S4 class to a vector"
Bins were obtained:
bins <- getBinAnnotations(binSize=50, genome="hg38")
Any idea of how to fix the error?
Thanks!
The text was updated successfully, but these errors were encountered:
Hi there,
I am using QDNAseq to call CNA in sWGS data. Initial results showed CNAs in centromeres areas of several chromosomes, recurrently in all samples (benign and tumor samples). I am trying to mask centromeres and telomeres, following the instructions:
bins$blacklist = calculateBlacklist(bins, bedFiles = c("hg38blacklist.v2.bed", "centromeres_region_hg38.bed",
"GAPlocations_hg38.bed"))
I have tried those files, and also downloaded the ones shown in the tutorial:
bins$blacklist = calculateBlacklist(bins, bedFiles = c("
/Downloads/wgEncodeDacMapabilityConsensusExcludable.bed",/Downloads/wgEncodeDukeMapabilityRegionsExcludable.bed"))"
The error is the same;
...Error in as.vector(data) :
no method for coercing this S4 class to a vector
I checked calculateBlacklist(), tried step by step and the error appears at the end, when it tries to merge blacklist within bins object (Large AnnotateDataFrame):
blacklist <- future.apply::future_apply(bins, MARGIN = 1L, FUN = overlap.counter,
joined = joined)
"Error in as.vector(data) :
no method for coercing this S4 class to a vector"
Bins were obtained:
bins <- getBinAnnotations(binSize=50, genome="hg38")
Any idea of how to fix the error?
Thanks!
The text was updated successfully, but these errors were encountered: