Workflows

What is a Workflow?
1464 Workflows visible to you, out of a total of 1561
Stable

An experiment which measured 15N labeled and unlabeled Chamydomonas reinhardtii samples at different ratios.

Type: Common Workflow Language

Creator: Caroline Ott

Submitter: Caroline Ott

DOI: 10.48546/workflowhub.workflow.2052.2

Associated Tutorial

This workflows is part of the tutorial M. tuberculosis Variant Analysis, available in the GTN

Features

Type: Galaxy

Creators: None

Submitter: GTN Bot

Predict variants and drug resistance from M. tuberculosis sequence samples (Illumina)

Associated Tutorial

This workflows is part of the tutorial M. tuberculosis Variant Analysis, available in the GTN

Features

...

Type: Galaxy

Creators: None

Submitter: GTN Bot

Associated Tutorial

This workflows is part of the tutorial De Bruijn Graph Assembly, available in the GTN

Features

Type: Galaxy

Creators: None

Submitter: GTN Bot

Associated Tutorial

This workflows is part of the tutorial De Bruijn Graph Assembly, available in the GTN

Features

Type: Galaxy

Creators: None

Submitter: GTN Bot

Associated Tutorial

This workflows is part of the tutorial De Bruijn Graph Assembly, available in the GTN

Features

Type: Galaxy

Creators: None

Submitter: GTN Bot

Barcode gene Extraction and Evaluation from Genome Skims (BeeGees) Snakemake workflow

Snakemake workflow for recovering high-quality barcode sequences at scale, built around MitoGeneExtractor and adapted for genome skims of museum specimens.

Contents

Type: Snakemake

Creator: Dan Parsons

Submitter: Dan Parsons

DOI: 10.48546/workflowhub.workflow.1346.2

Stable

PyPI version Install with bioconda JOSS DOI Github Action test ...

Type: Python

Creators: Dan Parsons, Ben Price

Submitter: Dan Parsons

DOI: 10.48546/workflowhub.workflow.1342.3

Work-in-progress

BioimageAIpub

A Python library to publish Bioimaging datasets to HuggingFace in AI-ready fashion.

Installation

git clone https://github.com/German-BioImaging/bioimageaipub/bioimageaipub.git 
cd bioimageaipub 
pip install -r requirements.txt 

Usage

BioimageAIpub is supplied as a Python library. See demo/demo.ipynb for a Python notebook demonstrating the usage.

Citation

Acknowledgments

This project was supported by and is attributable to the German Cancer Research Center (DKFZ) ...

Type: Jupyter

Creators: Stefan Dvoretskii, Anwai Archit, Constantin Pape, Marco Nolden, Josh Moore, German Cancer Research Center (DKFZ), HMC Hub Health

Submitter: Stefan Dvoretskii

4D-BioReconX is a scalable and versatile framework designed to construct a comprehensive four-dimensional (4D) spatial transcriptomics atlas of whole animals at single-cell resolution. This approach enables us to track the intricate spatiotemporal dependencies of morphogenetic gradients and regenerative patterning. It runs based on spatial transcriptomics data, such as Stereo-seq (spatial enhanced resolution omics sequencing) data. Notably, we are still working on the improvement of performance ...

Type: Shell Script

Creator: Guo Lidong

Submitter: Lidong Guo

DOI: 10.48546/workflowhub.workflow.2045.1

Powered by
(v.1.17.3)
Copyright © 2008 - 2026 The University of Manchester and HITS gGmbH