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openedon Mar 23, 2023
I have encountered the following error. I have tried both with out without --save_output_as_bam. It didn't help. I also ensured sufficient memory (256G) is available.
Thank you!
_-[nf-core/sarek] Pipeline completed with errors-
[27/e13d07] NOTE: Process `NFCORE_SAREK:SAREK:BAM_VARIANT_CALLING_SOMATIC_ALL:BAM_VARIANT_CALLING_SOMATIC_ASCAT:ASCAT (CGMH-FH-RCC1T_vs_CGMH-FH-RCC1N)` terminated with an error exit status (1) -- Execution is retried (7)
Error executing process > 'NFCORE_SAREK:SAREK:BAM_VARIANT_CALLING_SOMATIC_ALL:BAM_VARIANT_CALLING_SOMATIC_ASCAT:ASCAT (CGMH-FH-RCC1T_vs_CGMH-FH-RCC1N)'
Caused by:
Process `NFCORE_SAREK:SAREK:BAM_VARIANT_CALLING_SOMATIC_ALL:BAM_VARIANT_CALLING_SOMATIC_ASCAT:ASCAT (CGMH-FH-RCC1T_vs_CGMH-FH-RCC1N)` terminated with an error exit status (1)
Command executed:
#!/usr/bin/env Rscript
library(RColorBrewer)
library(ASCAT)
options(bitmapType='cairo')
#build prefixes: <abspath_to_files/prefix_chr>
allele_path = normalizePath("G1000_alleles_hg19")
allele_prefix = paste0(allele_path, "/", "G1000_alleles_hg19", "_chr")
loci_path = normalizePath("G1000_loci_hg19")
loci_prefix = paste0(loci_path, "/", "G1000_loci_hg19", "_chr")
#prepare from BAM files
ascat.prepareHTS(
tumourseqfile = "T.converted.cram",
normalseqfile = "N.converted.cram",
tumourname = paste0("T_vs_N", ".tumour"),
normalname = paste0("T_vs_N", ".normal"),
allelecounter_exe = "alleleCounter",
alleles.prefix = allele_prefix,
loci.prefix = loci_prefix,
gender = "XY",
genomeVersion = "hg19",
nthreads = 16
,minCounts = 10
,BED_file = 'wgs_calling_regions_Sarek.list'
,chrom_names = c(1:22, 'X', 'Y')
,min_base_qual = 20
,min_map_qual = 35
,ref.fasta = 'human_g1k_v37_decoy.fasta'
)
#Load the data
ascat.bc = ascat.loadData(
Tumor_LogR_file = paste0("T_vs_N", ".tumour_tumourLogR.txt"),
Tumor_BAF_file = paste0("T_vs_N", ".tumour_tumourBAF.txt"),
Germline_LogR_file = paste0("T_vs_N", ".tumour_normalLogR.txt"),
Germline_BAF_file = paste0("T_vs_N", ".tumour_normalBAF.txt"),
genomeVersion = "hg19",
gender = "XY"
)
#Plot the raw data
ascat.plotRawData(ascat.bc, img.prefix = paste0("T_vs_N", ".before_correction."))
# optional LogRCorrection
if("GC_G1000_hg19" != "NULL") {
gc_input = paste0(normalizePath("GC_G1000_hg19"), "/", "GC_G1000_hg19", ".txt")
if("RT_G1000_hg19" != "NULL"){
rt_input = paste0(normalizePath("RT_G1000_hg19"), "/", "RT_G1000_hg19", ".txt")
ascat.bc = ascat.correctLogR(ascat.bc, GCcontentfile = gc_input, replictimingfile = rt_input)
#Plot raw data after correction
ascat.plotRawData(ascat.bc, img.prefix = paste0("T_vs_N", ".after_correction_gc_rt."))
}
else {
ascat.bc = ascat.correctLogR(ascat.bc, GCcontentfile = gc_input, replictimingfile = RT_G1000_hg19)
#Plot raw data after correction
ascat.plotRawData(ascat.bc, img.prefix = paste0("T_vs_N", ".after_correction_gc."))
}
}
#Segment the data
ascat.bc = ascat.aspcf(ascat.bc)
#Plot the segmented data
ascat.plotSegmentedData(ascat.bc)
#Run ASCAT to fit every tumor to a model, inferring ploidy, normal cell contamination, and discrete copy numbers
#If psi and rho are manually set:
if (!is.null(NULL) && !is.null(NULL)){
ascat.output <- ascat.runAscat(ascat.bc, gamma=1, rho_manual=NULL, psi_manual=NULL)
} else if(!is.null(NULL) && is.null(NULL)){
ascat.output <- ascat.runAscat(ascat.bc, gamma=1, rho_manual=NULL)
} else if(!is.null(NULL) && is.null(NULL)){
ascat.output <- ascat.runAscat(ascat.bc, gamma=1, psi_manual=NULL)
} else {
ascat.output <- ascat.runAscat(ascat.bc, gamma=1)
}
#Extract metrics from ASCAT profiles
QC = ascat.metrics(ascat.bc,ascat.output)
#Write out segmented regions (including regions with one copy of each allele)
write.table(ascat.output[["segments"]], file=paste0("T_vs_N", ".segments.txt"), sep=" ", quote=F, row.names=F)
#Write out CNVs in bed format
cnvs=ascat.output[["segments"]][2:6]
write.table(cnvs, file=paste0("T_vs_N",".cnvs.txt"), sep=" ", quote=F, row.names=F, col.names=T)
#Write out purity and ploidy info
summary <- tryCatch({
matrix(c(ascat.output[["aberrantcellfraction"]], ascat.output[["ploidy"]]), ncol=2, byrow=TRUE)}, error = function(err) {
# error handler picks up where error was generated
print(paste("Could not find optimal solution: ",err))
return(matrix(c(0,0),nrow=1,ncol=2,byrow = TRUE))
}
)
colnames(summary) <- c("AberrantCellFraction","Ploidy")
write.table(summary, file=paste0("T_vs_N",".purityploidy.txt"), sep=" ", quote=F, row.names=F, col.names=T)
write.table(QC, file=paste0("T_vs_N", ".metrics.txt"), sep=" ", quote=F, row.names=F)
# version export
f <- file("versions.yml","w")
alleleCounter_version = system(paste("alleleCounter --version"), intern = T)
ascat_version = sessionInfo()$otherPkgs$ASCAT$Version
writeLines(paste0('"', "NFCORE_SAREK:SAREK:BAM_VARIANT_CALLING_SOMATIC_ALL:BAM_VARIANT_CALLING_SOMATIC_ASCAT:ASCAT", '"', ":"), f)
writeLines(paste(" alleleCounter:", alleleCounter_version), f)
writeLines(paste(" ascat:", ascat_version), f)
close(f)
Command exit status:
1
Command output:
(empty)
Command error:
Done reading locis
Multi pos start:
Reading locis
[E::sam_itr_next] Null iterator
[ERROR] (src/bam_access.c: bam_access_get_multi_position_base_counts:379 errno: No such file or directory) Error detected (-2) when trying to iterate through region
[ERROR] (./src/alleleCounter.c: main:432 errno: None) Error scanning through bam file for loci list with dense snps.
munmap_chunk(): invalid pointer
Done reading locis
Multi pos start:
[E::sam_itr_next] Null iterator
[ERROR] (src/bam_access.c: bam_access_get_multi_position_base_counts:379 errno: No such file or directory) Error detected (-2) when trying to iterate through region
[ERROR] (./src/alleleCounter.c: main:432 errno: None) Error scanning through bam file for loci list with dense snps.
Reading locis
Done reading locis
Multi pos start:
munmap_chunk(): invalid pointer
[E::sam_itr_next] Null iterator
[ERROR] (src/bam_access.c: bam_access_get_multi_position_base_counts:379 errno: No such file or directory) Error <<..............>>
Work dir:
<<..............>>
Tip: you can try to figure out what's wrong by changing to the process work dir and showing the script file named `.command.sh`_
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