Workflows

What is a Workflow?
523 Workflows visible to you, out of a total of 523

MGnify's amplicon pipeline v5.0. Including the Quality control for single-end and paired-end reads, rRNA-prediction, and ITS sub-WFs.

Type: Galaxy

Creators: Rand Zoabi, Paul Zierep, EMBL's European Bioinformatics Institute

Submitter: WorkflowHub Bot

Classification and visualization of ITS regions.

Type: Galaxy

Creators: Rand Zoabi, Paul Zierep, EMBL's European Bioinformatics Institute

Submitter: WorkflowHub Bot

Quality control subworkflow for paired-end reads.

Type: Galaxy

Creators: Rand Zoabi, Paul Zierep, EMBL's European Bioinformatics Institute

Submitter: WorkflowHub Bot

Quality control subworkflow for single-end reads.

Type: Galaxy

Creators: Rand Zoabi, Paul Zierep, MGnify - EMBL

Submitter: WorkflowHub Bot

Classification and visualization of SSU, LSU sequences.

Type: Galaxy

Creators: Rand Zoabi, Paul Zierep, EMBL's European Bioinformatics Institute

Submitter: WorkflowHub Bot

This workflow creates taxonomic summary tables out of the amplicon pipeline results.

Type: Galaxy

Creator: Rand Zoabi

Submitter: WorkflowHub Bot

Single-cell RNA-seq workflow with Scanpy and Anndata. Based on the 3k PBMC clustering tutorial from Scanpy. It takes count matrix, barcodes and feature files as input and creates an Anndata object out of them. It then performs QC and filters for lowly expressed genes and cells. Then the data is normalized and scaled. Then PCs are computed to further cluster using louvain algorithm. It also generated various plots of clustering colored with highly ranked genes.

Type: Galaxy

Creators: Pavankumar Videm, Hans-Rudolf Hotz, Mehmet Tekman, Bérénice Batut

Submitter: WorkflowHub Bot

Workflow for clinical metaproteomics database searching

Type: Galaxy

Creator: Subina Mehta

Submitter: WorkflowHub Bot

This workflow will perform taxonomic and functional annotations using Unipept and statistical analysis using MSstatsTMT.

Type: Galaxy

Creator: GalaxyP

Submitter: WorkflowHub Bot

In proteomics research, verifying detected peptides is essential for ensuring data accuracy and biological relevance. This tutorial continues from the clinical metaproteomics discovery workflow, focusing on verifying identified microbial peptides using the PepQuery tool.

Type: Galaxy

Creator: Pratik Jagtap

Submitter: WorkflowHub Bot

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