Kallisto RNAseq Workflow
Version 1

Workflow Type: Common Workflow Language

Workflow Kallisto RNAseq

(pseudoalignment on transcripts)

All tool CWL files and other workflows can be found here:
Tools: https://git.wur.nl/unlock/cwl/-/tree/master/cwl
Workflows: https://git.wur.nl/unlock/cwl/-/tree/master/cwl/workflows

How to setup and use an UNLOCK workflow:
https://m-unlock.gitlab.io/docs/setup/setup.html

Click and drag the diagram to pan, double click or use the controls to zoom.

Inputs

ID Name Description Type
identifier Identifier Identifier for this dataset used in this workflow
  • string
threads Threads Number of threads to use for computational processes
  • int?
memory Maximum memory in MB Maximum memory usage in megabytes
  • int?
filter_rrna Filter rRNA Optionally remove rRNA sequences from the reads.
  • boolean
forward_reads Forward reads Forward sequence file locally
  • string[]
reverse_reads Reverse reads Reverse sequence file locally
  • string[]
kallisto_index kallisto index file kallisto index file location
  • string
contamination_references Reference filters files Reference fasta file(s) for filtering (optional)
  • string[]?
destination Output Destination Optional Output destination used for cwl-prov reporting.
  • string?

Steps

ID Name Description
workflow_quality Quality and filtering workflow Quality assessment of illumina reads with rRNA filtering option
kallisto kallisto Calculates transcript abundances
kallisto_files_to_folder kallisto output Preparation of kallisto output files to a specific output folder

Outputs

ID Name Description Type
illumina_quality_stats Filtered statistics Statistics on quality and preprocessing of the reads
  • Directory
kallisto_output kallisto output kallisto results folder. Contains transcript abundances, run info and summary.
  • Directory

Version History

Version 1 (earliest) Created 20th May 2022 at 11:10 by Bart Nijsse

Initial commit


Open master c7adcde
help Creators and Submitter
Discussion Channel
Activity

Views: 2107   Downloads: 221

Created: 20th May 2022 at 11:10

Last updated: 2nd Nov 2022 at 15:26

help Tags

This item has not yet been tagged.

help Attributions

None

Total size: 4.5 KB
Powered by
(v.1.16.0-main)
Copyright © 2008 - 2024 The University of Manchester and HITS gGmbH