Nextflow workflow report

[voluminous_visvesvaraya]

Workflow execution completed successfully!
Run times
24-Mar-2022 07:29:13 - 26-Mar-2022 16:17:15 (duration: 2d 8h 48m 2s)
  193 succeeded  
  0 cached  
  0 ignored  
  0 failed  
Nextflow command
nextflow run /gscratch/srlab/programs/nf-core-rnaseq-3.6/workflow -profile singularity -c /gscratch/srlab/programs/nf-core-rnaseq-3.6/configs/conf/base-srlab_500GB_node.config --input sample_sheet-2666621.csv --outdir /gscratch/scrubbed/samwhite/outputs/20220323-pgen-nextflow_rnaseq-tissues --multiqc_title 20220321-pgen-nextflow_rnaseq-tissues-2666621 --fasta /gscratch/srlab/sam/data/P_generosa/genomes/Panopea-generosa-v1.0.fa --gff /gscratch/srlab/sam/data/P_generosa/genomes/Panopea-generosa-v1.0.a4_biotype-trna_strand_converted-no_RNAmmer.gff --save_reference --gtf_extra_attributes gene_name --gtf_group_features gene_id --featurecounts_group_type gene_biotype --featurecounts_feature_type exon --trim_nextseq 20 --save_trimmed --aligner star_salmon --pseudo_aligner salmon --min_mapped_reads 5 --save_align_intermeds --rseqc_modules bam_stat,inner_distance,infer_experiment,junction_annotation,junction_saturation,read_distribution,read_duplication
CPU-Hours
1'588.9
Launch directory
/gscratch/scrubbed/samwhite/outputs/20220323-pgen-nextflow_rnaseq-tissues
Work directory
/gscratch/scrubbed/samwhite/outputs/20220323-pgen-nextflow_rnaseq-tissues/work
Project directory
/gscratch/srlab/programs/nf-core-rnaseq-3.6/workflow
Script name
main.nf
Script ID
6b989c60f8b09b62bd16a252d522ee2e
Workflow session
3fc1d038-7437-4f7c-9f34-ce624ec3daca
Workflow profile
singularity
Nextflow version
version 21.10.6, build 5660 (21-12-2021 16:55 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)