Workflows

What is a Workflow?
178 Workflows visible to you, out of a total of 178

An automated processing pipeline for mammalian bulk calling cards experiments

Type: Nextflow

Creator: chase mateusiak <[email protected]>

Submitter: WorkflowHub Bot

CAGE-seq pipeline

Type: Nextflow

Creators: Kevin Menden, Tristan Kast, Matthias Hörtenhuber

Submitter: WorkflowHub Bot

A mapping-based pipeline for creating a phylogeny from bacterial whole genome sequences

Type: Nextflow

Creator: Anthony Underwood

Submitter: WorkflowHub Bot

Simple bacterial assembly and annotation pipeline.

Type: Nextflow

Creator: Andreas Wilm

Submitter: WorkflowHub Bot

ATACSeq peak-calling and differential analysis pipeline.

Type: Nextflow

Creators: Harshil Patel, Patel H, Langer B, Espinosa-Carrasco J, Syme R

Submitter: WorkflowHub Bot

Work-in-progress

Pre-processing of mass spectrometry-based metabolomics data

Type: Nextflow

Creators: Payam Emami, Payam Emami

Submitter: WorkflowHub Bot

Importing single-end multiplexed data (not demultiplexed yet)

Type: Galaxy

Creators: Debjyoti Ghosh, Helmholtz-Zentrum für Umweltforschung - UFZ

Submitter: WorkflowHub Bot

Use DADA2 for sequence quality control. DADA2 is a pipeline for detecting and correcting (where possible) Illumina amplicon sequence data. As implemented in the q2-dada2 plugin, this quality control process will additionally filter any phiX reads (commonly present in marker gene Illumina sequence data) that are identified in the sequencing data, and will filter chimeric sequences.

Type: Galaxy

Creators: Debjyoti Ghosh, Helmholtz-Zentrum für Umweltforschung - UFZ

Submitter: WorkflowHub Bot

dada2 amplicon analysis for paired end data

The workflow has three main outputs:

  • the sequence table (output of makeSequenceTable)
  • the taxonomy (output of assignTaxonomy)
  • the counts which allow to track the number of sequences in the samples through the steps (output of sequence counts)

Type: Galaxy

Creators: Matthias Bernt, UFZ Leipzig

Submitter: WorkflowHub Bot

This workflow performs segmentation and counting of cell nuclei using fluorescence microscopy images. The segmentation step is performed using Otsu thresholding (Otsu, 1979). The workflow is based on the tutorial: https://training.galaxyproject.org/training-material/topics/imaging/tutorials/imaging-introduction/tutorial.html

Type: Galaxy

Creator: Leonid Kostrykin

Submitter: WorkflowHub Bot

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