Workflows

What is a Workflow?
1485 Workflows visible to you, out of a total of 1583

EnrichDO

EnrichDO is a double weighted iterative model by integrating the DO graph topology on a global scale. It was based on the latest annotations of the human genome with DO terms, and double weighted the annotated protein-coding genes. On one hand, to reinforce the saliency of direct gene-DO annotations, different initial weights were assigned to directly annotated genes and indirectly annotated genes, respectively. On the other hand, to detect locally most significant node between ...

Type: R markdown

Creator: Liang Cheng

Submitter: Liang Cheng

DOI: 10.48546/workflowhub.workflow.1221.1

This workflow will perform taxonomic and functional annotations using Unipept and statistical analysis using MSstatsTMT.

Type: Galaxy

Creator: GalaxyP

Submitter: WorkflowHub Bot

In proteomics research, verifying detected peptides is essential for ensuring data accuracy and biological relevance. This tutorial continues from the clinical metaproteomics discovery workflow, focusing on verifying identified microbial peptides using the PepQuery tool.

Type: Galaxy

Creator: Pratik Jagtap

Submitter: WorkflowHub Bot

From metagenomes to peptides

Type: Nextflow

Creators: Sabrina Krakau, Leon Kuchenbecker and Till Englert

Submitter: WorkflowHub Bot

The workflow begins with the Database Generation process. The Galaxy-P team has developed a workflow that collects protein sequences from known disease-causing microorganisms to build a comprehensive database. This extensive database is then refined into a smaller, more relevant dataset using the Metanovo tool.

Type: Galaxy

Creator: Subina Mehta

Submitter: WorkflowHub Bot

No description specified

Type: COMPSs

Creator: Daniele Lezzi

Submitter: Daniele Lezzi

Second part of the ecoregionalization

This workflow allows you to create an ecoregionalization map from occurrences and environmental data using a boosted regression trees model for predictions.

The workflow is intended for processing occurrence data, which should include latitude, longitude and species presence or absence. You can use example test data available with the workflow, highlighting a use case centered on the Dumont d'Urville sea region and benthic invertebrates. The primary goal of ...

Part 1 of ecoregionalization workflow

This workflow allows you to create an ecoregionalization map from occurrences and environmental data using a boosted regression trees model for predictions.

The workflow is intended for processing occurrence data, which should include latitude, longitude and species presence or absence. You can use example test data available with the workflow, highlighting a use case centered on the Dumont d'Urville sea region and benthic invertebrates. The primary goal of ...

This workflow uses the decoupler tool in Galaxy to generate pseudobulk counts from an annotated AnnData file obtained from scRNA-seq analysis. Following the pseudobulk step, differential expression genes (DEG) are calculated using the edgeR tool. The workflow also includes data sanitation steps to ensure smooth operation of edgeR and minimizing potential issues. Additionally, a Volcano plot tool is used to visualize the results after the DEG analysis.

Type: Galaxy

Creators: Diana Chiang Jurado, Pavankumar Videm, Pablo Moreno

Submitter: WorkflowHub Bot

KNIME workflow describing the analysis of mass spectrometry dataset related to the publication "Armed with PRICKLE(3)s: Stabilizing WNT/PCP complexes against RNF43-mediated ubiquitination". Workflow was built using the KNIME software container environment, version 4.7.7a, which can be created using "docker pull cfprot/knime:4.7.7a" command in Docker. The input data for the KNIME workflow (the report.tsv from DIA-NN) can be found on PRIDE repository under the identifier PXD057854.

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