Workflows

What is a Workflow?
370 Workflows visible to you, out of a total of 400

EC-Earth3 workflow with wrappers running in MareNostrum 5 with Autosubmit v3.15.18, used to assess the effects of task aggregation on queueing times. Workflow configuration is based on the Auto-EC-Earth3's testing suite [1].

In order to reduce the size of the workflow, the /tmp directory has been deleted. Additionally, the experiment has been cleaned up with the Autosubmit clean command. The ...

EC-Earth3 workflow without wrappers running in MareNostrum 4 with Autosubmit v3.15.0b0, used to assess the effects of task aggregation on queueing times. Workflow configuration is based on the Auto-EC-Earth3's testing suite [1].

In order to reduce the size of the workflow, the /tmp directory has been deleted. Additionally, the experiment has been cleaned up with the Autosubmit clean command. ...

EC-Earth3 workflow with wrappers running in MareNostrum 4 with Autosubmit v3.15.0b0, used to assess the effects of task aggregation on queueing times. Workflow configuration is based on the Auto-EC-Earth3's testing suite [1].

In order to reduce the size of the workflow, the /tmp directory has been deleted. Additionally, the experiment has been cleaned up with the Autosubmit clean command. ...

Stable

The Spatial Transcriptomics analysis workflow for Xenium data from the PATH2XNAT project tested on the non-diseased lung dataset from 10X genomics. The analysis workflow written in R and executed in the interactive RStudio environment consists of visualizations, clustering, feature selection and cluster annotation.

Type: Galaxy

Creators: None

Submitter: Myrthe van Baardwijk

Stable

RNA-SeqEZPZ-NF

Nextflow Pipeline for RNA-SeqEZPZ

A Point-and-Click Pipeline for Comprehensive Transcriptomics Analysis with Interactive Visualizations

RNA-SeqEZPZ-NF is another implementation of RNA-SeqEZPZ. RNA-SeqEZPZ-NF uses the same user interface as RNA-SeqEZPZ and runs the same pipeline, but runs the pipeline implemented by Nextflow. This pipeline is currently tested on HPC cluster with SLURM scheduler. Advanced ...

Type: Nextflow

Creators: Yuan Zhang, Cenny Taslim

Submitter: Cenny Taslim

DOI: 10.48546/workflowhub.workflow.1814.2

RNA-SeqEZPZ: A Point-and-Click Pipeline for Comprehensive Transcriptomics Analysis with Interactive Visualizations

RNA-SeqEZPZ is a pipeline to run analysis of RNA-Seq experiments from raw FASTQ files all the way to differential genes analysis. The pipeline is accessible through a graphical user interface implemented using a Shiny app and features interactive plots. Advanced users have the ability to customize the scripts provided with the pipeline. This pipeline is designed to run on an HPC ...

Type: Shell Script

Creator: Cenny Taslim

Submitter: Cenny Taslim

DOI: 10.48546/workflowhub.workflow.1813.2

Stable

SciWIn Client Demo

A basic Workflow using SciWIn Client (s4n) can be created with the commands hereafter. This guide assumes the usage of unix based operating systems, however Windows should work, too. If not please open an issue.

Installation

GitHub Release ...

Type: Common Workflow Language

Creator: Jens Krumsieck

Submitter: Jens Krumsieck

📄 Generalizable machine learning models for rapid antimicrobial resistance prediction in unseen healthcare settings

This repository contains the code used for the experiments in the paper:

Generalizable machine learning models for rapid antimicrobial resistance prediction in unseen healthcare settings by Diane Duroux, Paul P. Meyer, Giovanni Visonà, and Niko Beerenwinkel.

⚙️ Install the dependencies

Clone the repository, unzip OriginalData.zip, and install the necessary dependencies ...

Type: Python

Creators: None

Submitter: Diane Duroux

Stable

MAGNETO

MAGNETO is an automated snakemake workflow dedicated to MAG (Metagenome-Assembled Genomes) reconstruction from metagenomic data.

It includes a fully-automated coassembly step informed by optimal clustering of metagenomic distances, and implements complementary genome binning strategies, for improving MAG recovery.

Key Features

  • Quality Control (QC): Automatically assesses the quality and the contamination of input reads, ensuring that low-quality data are filtered out to improve ...

Type: Snakemake

Creators: Samuel Chaffron, Audrey Bihouee, Benjamin Churcheward, Maxime Millet, Guillaume Fertin, Hugo Lefeuvre

Submitter: Hugo Lefeuvre

DOI: 10.48546/workflowhub.workflow.1815.2

Type: Galaxy

Creators: Yi Sun, Arif Khan, nfdi4bioimage

Submitter: Yi Sun

Powered by
(v.1.17.0-main)
Copyright © 2008 - 2025 The University of Manchester and HITS gGmbH