Workflows

What is a Workflow?
1195 Workflows visible to you, out of a total of 1276

Discovery workflow with SG/PS and MaxQuant to generate microbial peptides

Associated Tutorial

This workflows is part of the tutorial Clinical Metaproteomics 2: Discovery, available in the GTN

Thanks to...

Workflow Author(s): Subina Mehta

Tutorial Author(s): Subina Mehta, ...

Type: Galaxy

Creators: None

Submitter: GTN Bot

workflow-editor

Associated Tutorial

This workflows is part of the tutorial Creating, Editing and Importing Galaxy Workflows, available in the GTN

Thanks to...

Tutorial Author(s): Marius van den Beek

[![gtn star logo followed by the word ...

Type: Galaxy

Creators: None

Submitter: GTN Bot

Peptide Library Data Analysis

Associated Tutorial

This workflows is part of the tutorial Peptide Library Data Analysis, available in the GTN

Thanks to...

Tutorial Author(s): Jayadev Joshi, [Daniel ...

Type: Galaxy

Creators: None

Submitter: GTN Bot

Associated Tutorial

This workflows is part of the tutorial Assembly of metagenomic sequencing data, available in the GTN

Thanks to...

Tutorial Author(s): Polina Polunina, Bérénice Batut ...

Type: Galaxy

Creators: None

Submitter: GTN Bot

workflow-automation

Associated Tutorial

This workflows is part of the tutorial Automating Galaxy workflows using the command line, available in the GTN

Thanks to...

Workflow Author(s): Wolfgang Maier

Tutorial Author(s): Simon Bray, [Wolfgang ...

Type: Galaxy

Creators: None

Submitter: GTN Bot

Associated Tutorial

This workflows is part of the tutorial Multiomics data analysis using MultiGSEA, available in the GTN

Features

Type: Galaxy

Creators: None

Submitter: GTN Bot

Stable

The workflow takes a paired-reads collection (like illumina WGS or HiC), runs FastQC and SeqKit, trims with Fastp, and creates a MultiQC report. The main outputs are a paired collection of trimmed reads, a report with raw and trimmed reads stats, and a table with raw reads stats.

Type: Galaxy

Creators: Diego De Panis, ERGA

Submitter: Diego De Panis

DOI: 10.48546/workflowhub.workflow.601.1

Stable

The workflow takes ONT reads collection, runs SeqKit and Nanoplot. The main outputs are a table and plots of raw reads stats.

Type: Galaxy

Creators: Diego De Panis, ERGA

Submitter: Diego De Panis

Stable

The workflow takes a HiFi reads collection, runs FastQC and SeqKit, filters with Cutadapt, and creates a MultiQC report. The main outputs are a collection of filtred reads, a report with raw and filtered reads stats, and a table with raw reads stats.

Type: Galaxy

Creators: Diego De Panis, ERGA

Submitter: Diego De Panis

DOI: 10.48546/workflowhub.workflow.602.1

Stable

The workflow takes a (trimmed) Long reads collection, runs Meryl to create a K-mer database, Genomescope2 to estimate genome properties and Smudgeplot to estimate ploidy (optional). The main results are K-mer database and genome profiling plots, tables, and values useful for downstream analysis. Default K-mer length and ploidy for Genomescope are 31 and 2, respectively.

Type: Galaxy

Creators: Diego De Panis, ERGA

Submitter: Diego De Panis

DOI: 10.48546/workflowhub.workflow.603.1

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