Workflows

What is a Workflow?
1514 Workflows visible to you, out of a total of 1615
Work-in-progress

Introduction

CBRA (CIBERER Bioinformatics for Rare diseases Analysis) is a workflow optimized for the analysis of rare diseases, designed to detect SNVs, INDELs, CNVs and SVs in targeted sequencing data (CES/WES) as well as whole genome sequencing (WGS).

This pipeline is developed using Nextflow, a workflow management system that enables an easy execution across various computing environments. It uses Docker or Singularity containers, simplifying setup and ensuring reproducibility of results. ...

Type: Nextflow

Creators: None

Submitter: Yolanda Benítez Quesada

Honey bees (Apis mellifera) are essential pollinators supporting agricultural production and wild plant diversity. In evolutionary lineage M, some populations are threatened by genetic erosion caused by the widespread introduction of commercially bred queens. To assess this risk, wing images from existing and new datasets were used to assign them to four evolutionary lineages (A, C, M, and O). The new dataset consisted of 29,043 wing images representing 1,342 colony samples from ten countries. ...

Type: R markdown

Creators: None

Submitter: Adam Tofilski

This workflow computes read coverage of BAM/CRAM samples over a merged set of peak regions to generate a pairwise correlation plot, along with the corresponding raw read counts and coverage matrix.

Open in GitHub Codespaces GitHub Actions CI Status GitHub Actions Linting Status[![AWS ...

Type: Nextflow

Creators: None

Submitter: WorkflowHub Bot

CLIP-seq Workflow

A Nextflow workflow for end-to-end processing of CLIP-seq data, supporting multiple CLIP protocols.

Overview

Starting from raw FASTQ files (or un-demultiplexed iCLIP data), the workflow processes reads through quality control, adapter trimming, rRNA removal, genome alignment, and UMI deduplication, then runs shoji to extract crosslink sites and produce per-sample and combined count matrices ready for differential binding analysis (see ...

Type: Nextflow

Creator: Sudeep Sahadevan

Submitters: Sudeep Sahadevan, Hentze group

Stable

Genomes Generation Pipeline

MGnify genomes generation pipeline (GGP) produces prokaryotic and eukaryotic MAGs from raw reads and corresponding assemblies.

This pipeline does not support co-binning.

Pipeline summary

The pipeline performs the following tasks:

  • Supports short reads.
  • Changes read headers to their corresponding assembly accessions (in the ERZ namespace).
  • Quality trims the reads, removes adapters fastp.

Afterward, the pipeline:

  • Runs a ...

Type: Nextflow

Creators: Ekaterina Sakharova, Martin Beracochea, Varsha Kale

Submitters: Martin Beracochea, Ekaterina Sakharova

Stable

Data from different sources

Type: Snakemake

Creators: None

Submitter: Fernando Aguilar Gómez

Detailed description of your COMPSs application

Type: COMPSs

Creator: Raül Sirvent

Submitter: Manel Colominas

Open in GitHub Codespaces GitHub Actions CI Status GitHub Actions Linting Status[![AWS ...

Type: Nextflow

Creators: None

Submitter: WorkflowHub Bot

Stable

Workflow for quality assessment and taxonomic classification of amplicon long read sequences. In addition files are exported to their respective subfolders for easier data management in a later stage.

Inputs are expected to be basecalled fastq files

Steps:

  • NanoPlot read quality control, before and after filtering
  • fastplong read quality and length filtering
  • Emu abundance; species-level taxonomic abundance for full-length 16S read

Type: Common Workflow Language

Creators: Bart Nijsse, Jasper Koehorst

Submitter: Bart Nijsse

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