hustal/rnaseq repository overview
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 counts relative to genes (featureCounts, StringTie) or transcripts (Salmon, tximport) and performs extensive quality-control on the results (RSeQC, Qualimap, dupRadar, Preseq, edgeR, MultiQC). See the output documentation for more details of the results.
The pipeline is built using Nextflow, a workflow tool to run tasks across multiple compute infrastructures in a very portable manner. It comes with docker containers making installation trivial and results highly reproducible.
Quick Start
i. Install nextflow
ii. Install one of docker, singularity or conda
iii. Download the pipeline and test it on a minimal dataset with a single command
nextflow run nf-core/rnaseq -profile test,<docker/singularity/conda>
iv. Start running your own analysis!
nextflow run nf-core/rnaseq -profile <docker/singularity/conda> --reads '*_R{1,2}.fastq.gz' --genome GRCh37
See usage docs for all of the available options when running the pipeline.
Documentation
The nf-core/rnaseq pipeline comes with documentation about the pipeline, found in the docs/ directory:
- Installation
- Pipeline configuration
- Running the pipeline
- Output and how to interpret the results
- 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, @lpantano, @olgabot, @jburos, @drpatelh.
Contributions and Support
If you would like to contribute to this pipeline, please see the contributing guidelines.
For further information or help, don't hesitate to get in touch on Slack (you can join with this invite).
Citation
If you use nf-core/rnaseq for your analysis, please cite it using the following doi: 10.5281/zenodo.1400710
You can cite the nf-core pre-print as follows:
Ewels PA, Peltzer A, Fillinger S, Alneberg JA, Patel H, Wilm A, Garcia MU, Di Tommaso P, Nahnsen S. nf-core: Community curated bioinformatics pipelines. bioRxiv. 2019. p. 610741. doi: 10.1101/610741.
Tag summary
Content type
Image
Digest
Size
1.4 GB
Last updated
over 6 years ago
docker pull hustal/rnaseq