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Hi,
I realized, that some of the reads are getting lost when comparing the input bam, which comes directly from MinKNOW/dorado to the final haplotagged cram generated by the wf-human-variation workflow. I know, there were some issues with unmapped reads. However, the number of unmapped reads is smaller than the number of missing reads. So I wonder, what reads are missing in the wf-human-variation final cram and it is save to only store this.
Best,
FLorian
Relevant log output
n/a
Application activity log entry
n/a
Were you able to successfully run the latest version of the workflow with the demo data?
Operating System
Ubuntu 22.04
Other Linux
No response
Workflow Version
v.2.4.1
Workflow Execution
Command line (Cluster)
Other workflow execution
No response
EPI2ME Version
No response
CLI command run
nextflow run wf-human-variation --bam input.bam --sample_name 12345 --out_dir out_folder --ref ref.fa --snp --sv --cnv --str --mod --annotation true --phased --tr_bed /data/ref/human_GRCh38_no_alt_analysis_set.trf.bed --GVCF -profile standard -w /work/ --ubam_map_threads 80
Workflow Execution - CLI Execution Profile
standard (default)
What happened?
Hi,
I realized, that some of the reads are getting lost when comparing the input bam, which comes directly from MinKNOW/dorado to the final haplotagged cram generated by the wf-human-variation workflow. I know, there were some issues with unmapped reads. However, the number of unmapped reads is smaller than the number of missing reads. So I wonder, what reads are missing in the wf-human-variation final cram and it is save to only store this.
Best,
FLorian
Relevant log output
Application activity log entry
Were you able to successfully run the latest version of the workflow with the demo data?
yes
Other demo data information
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