Workflows
What is a Workflow?Filters
ORSON combine state-of-the-art tools for annotation processes within a Nextflow pipeline: sequence similarity search (PLAST, BLAST or Diamond), functional annotation retrieval (BeeDeeM) and functional prediction (InterProScan). When required, BUSCO completness evaluation and eggNOG Orthogroup annotation can be activated. While ORSON results can be analyzed through the command-line, it also offers the possibility to be compatible with BlastViewer or Blast2GO graphical tools.
Type: Nextflow
Creators: Cyril Noel, Alexandre Cormier, Patrick Durand, Laura Leroi, Pierre Cuzin
Submitter: Patrick Durand
Metagenomic dataset taxonomic classification using kraken2
Metagenomic dataset taxonomic classification using kraken2
Workflow for Spliced RNAseq data Steps:
- workflow_quality.cwl:
- FastQC (Read Quality Control)
- fastp (Read Trimming)
- STAR (Read mapping)
- featurecounts (transcript read counts)
- kallisto (transcript [pseudo]counts)
Workflow for NonSpliced RNAseq data with multiple aligners.
Steps:
- workflow_quality.cwl:
- FastQC (control)
- fastp (trimming)
- bowtie2 (read mapping)
- sam_to_sorted-bam
- featurecounts (transcript read counts)
- kallisto (transcript [pseudo]counts)
Amplicon analysis workflow using NG-Tax
Steps:
- Quality control on the reads
- Execute NGTax for ASV detection and classification
For more information about NG-Tax 2.0 have a look at https://doi.org/10.3389/fgene.2019.01366
Type: Common Workflow Language
Creators: Jasper Koehorst, Bart Nijsse, Jesse van Dam, Peter Schaap,
Submitter: Jasper Koehorst
A workflow querying on an endpoint of a graph database by a file containing a SPARQL query.
This workflow is used to process timeseries from meteorological stations in Finland but can be applied to any timeseries according it follows the same format.
Take a temperature timeseries from any meteorological station. Input format is csv and it must be standardized with 6 columns:
- Year (ex: 2021)
- month (ex: 1)
- day (ex: 15)
- Time (ex: 16:56)
- Time zone (such as UTC)
- Air temperature (degC)
Rare disease researchers workflow is that they submit their raw data (fastq), run the mapping and variant calling RD-Connect pipeline and obtain unannotated gvcf files to further submit to the RD-Connect GPAP or analyse on their own.
This demonstrator focuses on the variant calling pipeline. The raw genomic data is processed using the RD-Connect pipeline (Laurie et al., 2016) running on the standards (GA4GH) compliant, interoperable container ...
CWL version of the md_list.py workflow for HPC. This performs a system setup and runs a molecular dynamics simulation on the structure passed to this workflow. This workflow uses the md_gather.cwl sub-workflow to gather the outputs together to return these. To work with more than one structure this workflow can be called from either the md_launch.cwl workflow, or the md_launch_mutate.cwl workflow. These use scatter for parallelising the workflow. md_launch.cwl operates on a list of individual ...