Nextflow workflow report

[cheesy_kowalevski]

Workflow execution completed successfully!
Run times
13-Jun-2026 12:26:34 - 13-Jun-2026 12:28:04 (duration: 1m 30s)
  23 succeeded  
  0 cached  
  0 ignored  
  0 failed (0 retries)  
Nextflow command
nextflow run /data/new-hansen/lep_amr/wf-amplicon-local-v1 -profile standard -resume --fastq /data/new-hansen/lep_amr/runs/20260613_122631_02b071fd/work/input_fastq --reference /data/new-hansen/lep_amr/runs/20260613_122631_02b071fd/work/screening/selected_amplicons.fasta --sample_sheet /data/new-hansen/lep_amr/runs/20260613_122631_02b071fd/work/sample_sheet.csv --out_dir /data/new-hansen/lep_amr/runs/20260613_122631_02b071fd/work/epi2me_output --reads_downsampling_size 0 --min_read_length 80 --drop_frac_longest_reads 0 --take_longest_remaining_reads false --min_coverage 20 --threads 4 --override_basecaller_cfg dna_r10.4.1_e8.2_400bps_hac@v4.2.0
CPU-Hours
(a few seconds)
Launch directory
/data/new-hansen/lep_amr/runs/20260613_122631_02b071fd/work
Work directory
/data/new-hansen/lep_amr/nextflow_work
Project directory
/data/new-hansen/lep_amr/wf-amplicon-local-v1
Script name
main.nf
Script ID
087ada567e12d1198d6e5e7d7393878a
Workflow name
epi2me-labs/wf-amplicon
Workflow version
v1.2.2
Workflow description
Amplicon workflow
Workflow author
Oxford Nanopore Technologies
Workflow home page
https://github.com/epi2me-labs/wf-amplicon
Workflow session
b373c377-6159-4bdf-8582-356f9ca9db64
Workflow profile
standard
Workflow container
[withLabel:wf_common:ontresearch/wf-common:shafdd79f8e4a6faad77513c36f623693977b92b08e, withLabel:wfamplicon:ontresearch/wf-amplicon:sha0ba67476938520e6f132759780d0a0e902925c59, withLabel:medaka:ontresearch/medaka:shacf8338462607b17b1d68dbce212cb93daea50bad]
Container engine
docker
Nextflow version
version 26.04.3, build 12259 (28-05-2026 08:48 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)