Nextflow workflow report

[admiring_archimedes]

Workflow execution completed successfully!
Run times
30-Aug-2025 15:18:34 - 30-Aug-2025 17:45:25 (duration: 2h 26m 50s)
  57 succeeded  
  0 cached  
  0 ignored  
  0 failed (0 retries)  
Nextflow command
nextflow run nf-core/methylseq -c /mmfs1/gscratch/scrubbed/sr320/github/project-caligus-methylation/code/05.config --input /mmfs1/gscratch/scrubbed/sr320/github/project-caligus-methylation/code/05.samplesheet.csv --outdir /mmfs1/gscratch/scrubbed/sr320/github/project-caligus-methylation/output/05-scoremin-L0_02 --fasta /mmfs1/gscratch/scrubbed/sr320/github/project-caligus-methylation/data/GCA_013387185.1_ASM1338718v1_genomic.fa --score_min L,0,-0.2 --nomeseq -with-report /mmfs1/gscratch/scrubbed/sr320/github/project-caligus-methylation/output/05-scoremin-L0_02/nf_report.html -with-timeline /mmfs1/gscratch/scrubbed/sr320/github/project-caligus-methylation/output/05-scoremin-L0_02/nf_timeline.html -with-trace /mmfs1/gscratch/scrubbed/sr320/github/project-caligus-methylation/output/05-scoremin-L0_02/pipeline_trace.txt -resume
CPU-Hours
337.6
Launch directory
/mmfs1/gscratch/scrubbed/sr320/github/project-caligus-methylation/output/05-nextflow-minscore
Work directory
/mmfs1/gscratch/scrubbed/sr320/github/project-caligus-methylation/output/05-nextflow-minscore/work
Project directory
/mmfs1/gscratch/scrubbed/sr320/.nextflow/assets/nf-core/methylseq
Script name
main.nf
Script ID
4bbfa1f34a4770804c3fb5f101c38c48
Workflow session
af3d4008-7d99-44e1-9e65-645235e8b2a9
Workflow repository
https://github.com/nf-core/methylseq, revision master (commit hash db60bfe1f0d0409244a02c6b046301ebfd697db7)
Workflow profile
standard
Nextflow version
version 25.04.6, build 5954 (01-07-2025 11:27 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)