Workflows

What is a Workflow?
1584 Workflows visible to you, out of a total of 1686
Stable

Description

Historical executable generation of the NEXUS CORTEX lifecycle workflow for the zero-entropy-lab research software lineage, recorded from repository state 12287364d5915b4e51a6146996d6d8a95d547c22 on 2026-10-07.

The workflow implements a graph-based, bounded research lifecycle with read-only validation and guarded application paths. It validates runtime contracts and active ledgers, harvests and projects approved external evidence, canonicalizes the active graph, rebuilds and ingests ...

Type: Unrecognized workflow type

Creator: Xuanyi Jiang

Submitter: Xuanyi Jiang

DOI: 10.48546/workflowhub.workflow.2334.2

Stable

Historical executable generation of the NEXUS CORTEX lifecycle workflow for the welcome-to-github research software lineage, recorded from repository state 0b2e45c0b2eff554cf40431ce3c53693d86bc290 on 2026-10-07.

The workflow implements a graph-based, bounded research lifecycle with read-only validation and guarded application paths. It validates runtime contracts and active ledgers, harvests and projects approved external evidence, canonicalizes the active graph, rebuilds and ingests memory, ...

Type: Unrecognized workflow type

Creator: Xuanyi Jiang

Submitter: Xuanyi Jiang

DOI: 10.48546/workflowhub.workflow.2332.2

Technical explanation of federated execution on ASPIRE nodes (Spain, Germany, and Italy) using Pulsar.

Type: Galaxy

Creator: José Javier Rabal Otal

Submitter: José Javier Rabal Otal

Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1)

Associated Tutorial

This workflows is part of the tutorial Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1), available in the GTN

Features

  • Includes [Galaxy Workflow ...

Type: Galaxy

Creators: None

Submitter: GTN Bot

A common ChIP-seq workflow based on Formation of the Super-Structures on the Inactive X, https://gxy.io/GTN:T00140

Associated Tutorial

This workflows is part of the tutorial Formation of the Super-Structures on the Inactive X, available in the GTN

Features

  • Includes [Galaxy Workflow ...

Type: Galaxy

Creators: None

Submitter: GTN Bot

Work-in-progress Tests Not available

DOI Nextflow nf-core template version ...

Work-in-progress

Jupyter nootebook workflow of standard setup of protein in water simulation in Gromacs. It creates simulation box, adds solvent and counterions, sets up force field and water model, performs restrained energy minimization, NVT, and NPT equilibration, yielding inputs for a production MD run.

Designed to be used with for MDDashboard

Type: Jupyter

Creators: None

Submitter: Tomas Vondrak

Work-in-progress

Jupyter nootebook workflow of standard setup of protein in water simulation in Gromacs. It creates simulation box, adds solvent and counterions, sets up force field and water model, performs restrained energy minimization, NVT, and NPT equilibration, yielding inputs for a production MD run.

Designed to be used with for MDDashboard

Type: Jupyter

Creators: None

Submitter: Tomas Vondrak

This workflow performs DNA sequence classification using an LSTM neural network to generate predicted labels from test DNA sequences

Type: Galaxy

Creator: Anup Kumar

Submitter: WorkflowHub Bot

Stable

The aim of this workflow is to handle the routine part of shotgun metagenomics data processing on Galaxy Australia.

The workflow is using the tools MetaPhlAn2 for taxonomy classification and HUMAnN2 for functional profiling of the metagenomes. The workflow is based on the Galaxy Training tutorial 'Analyses of metagenomics data - The global picture' (Saskia Hiltemann, Bérénice Batut) https://training.galaxyproject.org/training-material/topics/metagenomics/tutorials/general-tutorial/tutorial.html#shotgun-metagenomics-data. ...

Type: Galaxy

Creators: Valentine Murigneux, Mike Thang, Saskia Hiltemann, Bérénice Batut, The workflow is based on the Galaxy Training tutorial Analyses of metagenomics data. Thank you to the Galaxy Australia team, Igor Makunin and Mike Thang for help with the workflow

Submitter: Valentine Murigneux

DOI: 10.48546/workflowhub.workflow.624.1

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