Workflows

What is a Workflow?
745 Workflows visible to you, out of a total of 794
Work-in-progress

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)

Type: Common Workflow Language

Creators: Bart Nijsse, Jasper Koehorst

Submitter: Bart Nijsse

Stable

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

Work-in-progress

A workflow querying on an endpoint of a graph database by a file containing a SPARQL query.

Type: Common Workflow Language

Creators: None

Submitter: Qinqin Long

Stable

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:

  1. Year (ex: 2021)
  2. month (ex: 1)
  3. day (ex: 15)
  4. Time (ex: 16:56)
  5. Time zone (such as UTC)
  6. Air temperature (degC)

Type: Galaxy

Creators: None

Submitter: Anne Fouilloux

Stable

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 ...

Work-in-progress

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 ...

Type: Common Workflow Language

Creators: None

Submitter: Douglas Lowe

DOI: 10.48546/workflowhub.workflow.121.1

Stable

COnSensus Interaction Network InFErence Service

Inference framework for reconstructing networks using a consensus approach between multiple methods and data sources.

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Reference

[Manica, Matteo, Charlotte, Bunne, Roland, Mathis, Joris, Cadow, Mehmet Eren, Ahsen, Gustavo A, Stolovitzky, and María Rodríguez, Martínez. "COSIFER: a python package for the consensus inference of molecular ...

Work-in-progress

Workflow to take DataOne data packages (raw datasets + metadata written in Ecological Metadata Standard) as input and create a DwC occurence.csv file almost ready to put in a Dawrin core Archive using eml-annotations at the attribute level

Type: Galaxy

Creator: Yvan Le Bras

Submitter: Yvan Le Bras

Stable

A porting of the Trinity RNA assembly pipeline, https://trinityrnaseq.github.io, that uses Nextflow to handle the underlying sub-tasks. This enables additional capabilities to better use HPC resources, such as packing of tasks to fill up nodes and use of node-local disks to improve I/O. By design, the pipeline separates the workflow logic (main file) and the cluster-specific configuration (config files), improving portability.

Based on a pipeline by Sydney Informatics Hub: ...

Type: Nextflow

Creator: Marco De La Pierre

Submitter: Marco De La Pierre

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