Nextflow workflow report

[gloomy_borg]

Workflow execution completed unsuccessfully!

The exit status of the task that caused the workflow execution to fail was: 1.

The full error message was:

Error executing process > 'SNPS:masking (sample1 - clustering)'

Caused by:
  Process `SNPS:masking (sample1 - clustering)` terminated with an error exit status (1)

Command executed:

  change_sam_queries.py -Q -T 16 -t . -G calmd.bam clustering.bam || exit $?
  find -mindepth 1 -maxdepth 1 -type d -exec rm -r {} \;

Command exit status:
  1

Command output:
  (empty)

Command error:
  Traceback (most recent call last):
    File "/home/sr320/.nextflow/assets/epidiverse/snp/bin/change_sam_queries.py", line 68, in 
      import pysam
  ImportError: No module named pysam

Work dir:
  /home/shared/8TB_HDD_01/sr320/github/paper-oly-mbdbs-gen/code/work/41/910b1637f387578954396c7bf98add

Tip: you can replicate the issue by changing to the process work dir and entering the command `bash .command.run`
Run times
20-Jun-2022 10:46:14 - 20-Jun-2022 10:51:41 (duration: 5m 27s)
  6 succeeded  
  0 cached  
  0 ignored  
  8 failed  
Nextflow command
nextflow run epidiverse/snp -profile test, docker
CPU-Hours
0.1 (65.3% failed)
Launch directory
/home/shared/8TB_HDD_01/sr320/github/paper-oly-mbdbs-gen/code
Work directory
/home/shared/8TB_HDD_01/sr320/github/paper-oly-mbdbs-gen/code/work
Project directory
/home/sr320/.nextflow/assets/epidiverse/snp
Script name
main.nf
Script ID
b0e299ed332648922c66d8a020a05bca
Workflow session
85e2ac1f-df5b-44c7-be8b-ca9b902565d1
Workflow repository
https://github.com/EpiDiverse/snp.git, revision master (commit hash 9c814703c690c2ade21c4586b36159940e092a4e)
Workflow profile
test,
Nextflow version
version 20.07.1, build 5412 (24-07-2020 15:18 UTC)

Resource Usage

These plots give an overview of the distribution of resource usage for each process.

CPU

Memory

Job Duration

I/O

Tasks

This table shows information about each task in the workflow. Use the search box on the right to filter rows for specific values. Clicking headers will sort the table by that value and scrolling side to side will reveal more columns.

(tasks table omitted because the dataset is too big)