Nextflow workflow report

[thirsty_feynman] (resumed run)

Workflow execution completed successfully!
Run times
07-Oct-2026 08:02:25 - 07-Oct-2026 13:43:30 (duration: 5h 41m 5s)
  62 succeeded  
  16 cached  
  0 ignored  
  0 failed (1 retries)  
Nextflow command
nextflow run break-through-cancer/staple -r v2.5.0 -profile igs --input samplesheet.csv --outdir /local/projects-t3/fertig_staple/osteosarc/staple/outs-dropTCR-umi50-cellphone --xenium --deconvolve.n_top_genes 99999 --ref_scrna /local/projects-t3/fertig_staple/osteosarc/staple/072925_IPISRC044_T1_T2_T3_sobj_merged_processed_tcr_bcr_mutMap_tcMap_annot_final_reannot.h5ad --ref_scrna_type_col cell_type --slurm_account ejfertig-lab --drop_genes_prefix alpha,beta,epicentrx -w /local/scratch/dlvovs/work --sq_gr_co_occurrence_interval 50,100,150,200,250,300,350,400,450,500 --sq_gr_ligrec_interactions_params '{"resources": "CellPhoneDB"}' --umi_min 50 --analyze.spotlight Tumor -resume
CPU-Hours
160.1 (3.1% cached, 0.3% failed)
Launch directory
/autofs/projects-t3/fertig_staple/osteosarc
Work directory
/local/scratch/dlvovs/work
Project directory
/home/dlvovs/.nextflow/assets/.repos/break-through-cancer/staple/clones/8ae233d103a14775fd5f98424d75f67b67fda89d
Script name
main.nf
Script ID
f4f72160b8480441912ea6c90a7d9cb2
Workflow name
STAPLE
Workflow version
2.5.0
Workflow description
Spot Transcriptomics Analysis Pipeline
Workflow home page
https://github.com/break-through-cancer/staple
Workflow session
939dbae1-b720-4b41-a030-b24cf1872d66
Workflow repository
https://github.com/break-through-cancer/staple, revision v2.5.0 (commit hash 8ae233d103a14775fd5f98424d75f67b67fda89d)
Workflow profile
igs
Nextflow version
version 26.04.1, build 12112 (11-05-2026 13:29 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)