Skip to content
RNA sequencing analysis pipeline using STAR or HISAT2, with gene counts and quality control
Nextflow R Python Perl HTML Dockerfile
Branch: master
Clone or download
Pull request Compare This branch is 54 commits behind ewels:master.
apeltzer Update CHANGELOG.md
Remove dev from changelog
Latest commit 37f260d Mar 27, 2019

README.md

nf-core/rnaseq

Build Status Nextflow DOI

install with bioconda Docker

Introduction

nf-core/rnaseq is a bioinformatics analysis pipeline used for RNA sequencing data.

The workflow processes raw data from FastQ inputs (FastQC, Trim Galore!), aligns the reads (STAR or HiSAT2), generates gene counts (featureCounts, StringTie) and performs extensive quality-control on the results (RSeQC, dupRadar, Preseq, edgeR, MultiQC). See the output documentation for more details of the results.

The pipeline is built using Nextflow, a bioinformatics workflow tool to run tasks across multiple compute infrastructures in a very portable manner. It comes with docker / singularity containers making installation trivial and results highly reproducible.

Documentation

The nf-core/rnaseq pipeline comes with documentation about the pipeline, found in the docs/ directory:

  1. Installation
  2. Pipeline configuration
  3. Running the pipeline
  4. Output and how to interpret the results
  5. Troubleshooting

Credits

These scripts were originally written for use at the National Genomics Infrastructure, part of SciLifeLab in Stockholm, Sweden, by Phil Ewels (@ewels) and Rickard Hammarén (@Hammarn).

Many thanks to other who have helped out along the way too, including (but not limited to): @Galithil, @pditommaso, @orzechoj, @apeltzer, @colindaven.

You can’t perform that action at this time.