Workflows

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

This workflow performs quality control and trimming on paired-end Illumina fastq(.gz) files using fastp and aggregates the quality control reports with MultiQC

Type: Galaxy

Creators: Bérénice Batut, Paul Zierep

Submitter: WorkflowHub Bot

The workflow serves as a short introduction to Galaxy for users from the Humanities who mostly work with texts.

Associated Tutorial

This workflows is part of the tutorial Introduction to Digital Humanities in Galaxy, available in the GTN

Features

Type: Galaxy

Creators: None

Submitter: GTN Bot

Associated Tutorial

This workflows is part of the tutorial Visualization of RNA-Seq results with heatmap2, available in the GTN

Features

Type: Galaxy

Creators: None

Submitter: GTN Bot

Metagenomic analysis, from raw reads to gene catalog. Uses Megahit to assemble contigs and Prodgial to predict CDSs on contigs to provide the gene catalog. Finally, functional, taxonomic, and antimicrobial resistance information is provided.

Type: Galaxy

Creators: ABRomics , Hugo Lefeuvre, abromics-consortium

Submitter: WorkflowHub Bot

Anesthesia and Neurocritical Care Medicine

Type: BioCompute Object

Creators: None

Submitter: Fangfang Li

Stable

scRNAvigator: Interactive exploration, processing, and analysis of your scRNA-seq data

This collection of R notebooks has been designed to guide you through processing and analysing your single cell RNA (scRNA) sequencing data. They are designed to be worked through in the following order:

  1. Quality control
  2. Doublet detection
  3. Dataset integration
  4. Cell annotation
  5. Pseudobulking and differential gene expression analysis
  6. Pathway enrichment analyses.

Each notebook explains what is ...

Type: Quarto Markdown

Creators: Michael Geaghan, Frederick Jaya, Mitchell J O'Brien, Georgina Samaha, We thank Martyn Bullock and Sumathy Perampalam for their testing support, feedback, and providing data used in developing this workflow

Submitter: Frederick Jaya

DOI: 10.48546/workflowhub.workflow.2022.2

Stable

Learning Objectives

  • How to build complex queries using the IDR searcher to retrieve data from the Image Data Resource (IDR)
  • How to load binary data from IDR using its Python API

Launch

This notebook can be launched using Google Colab.

Reference-based RNA-Seq data analysis

Associated Tutorial

This workflows is part of the tutorial Reference-based RNA-Seq data analysis, available in the GTN

Features

Type: Galaxy

Creators: None

Submitter: GTN Bot

Stable

Pipeface

Overview

Pipefaceee.

Nextflow pipeline to process long read ONT and/or pacbio HiFi data.

Workflow

Singleton

%%{init: {'theme':'dark'}}%% 
flowchart LR 

input_data("Input data: ONT fastq.gz and/or ONT fastq and/or ONT uBAM and/or pacbio HiFi uBAM") 
merging{{"Merge runs (if needed)"}} 
alignment{{"bam to fastq conversion (if needed), alignment, sorting"}} 
depth{{"Calculate alignment depth"}} 
snp_indel_calling{{"SNP/indel
...

Type: Nextflow

Creators: Leah Kemp, Andre Reis, Ira Deveson, Kisaru Liyanage, Matthew Downton, Hardip Patel, Kirat Alreja, This is a highly collaborative project, with many contributions from the Genomic Technologies Lab. Notably, Dr Andre Reis and Dr Ira Deveson are closely involved in the development of this pipeline. Optimisations involving DeepVariant and DeepTrio have been contributed by Dr Kisaru Liyanage and Dr Matthew Downton from the National Computational Infrastructure, with support from Australian BioCommons as part of the Workflow Commons project. Haploid-aware mode has been contributed by Dr Hardip Patel & Kirat Alreja from the National Centre for Indigenous Genomics. The installation and hosting of software used in this pipeline has and continues to be supported by the Australian BioCommons Tools and Workflows project (if89).

Submitter: Leah Kemp

DOI: 10.48546/workflowhub.workflow.1888.1

This instance of the HANAMI Reproducibility Workflow executed 22 members of the NICAM-DC model running the ICOMEX_JW test with 10 MPI ranks.

Its purpose was to test the ability of COMPSs in handling the execution of multiple concurrent MPI processes with a climate model in two nodes of MareNostrum 5.

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