nf-core/references
nf-core/references is a bioinformatics pipeline that build references, for multiple use cases
Introduction
nf-core/references is a bioinformatics pipeline that build references.
For most common organisms references will be stored them in the cloud, similar to AWS iGenomes, to allow for fast and simple access and better reproducibility. References can also be built locally for any organisms.
DNASEQ
For DNASEQ pipelines (ie nf-core/sarek), needing only a fasta file, it will be able to build the following references:
- BWA-MEM index
- BWA-MEM2 index
- DragMap hashtable
- Fasta dictionary (with GATK4)
- Fasta fai (with SAMtools)
- Fasta intervals bed (with GATK4)
- MSISensorPro list
- SNAP index
It will compress VCF files, if it was not already compressed, and tabix index it.
And with metadata, it will be able to download annotation caches from:
RNASEQ
For RNASEQ pipelines (ie nf-core/rnaseq or nf-core/rnavar), providing additional files describing genes’ structures (either GFF3 or GTF), it will be able to build the following references:
- Bowtie1 index
- Bowtie2 index
- Fasta dictionary (with GATK4)
- Fasta sizes (with SAMtools)
- GTF (from GFF3 with GffRead)
- HISAT2 index
- Kallisto index
- RSEM index
- STAR index
- Salmon index
- Splice sites (with HISAT2)
- Transcript fasta (with RSEM)
Datasheets
Datasheets are stored in references-datasheets.
Running
If you are new to Nextflow and nf-core, please refer to this page on how to set-up Nextflow.Make sure to test your setup with -profile test
before running the workflow on actual data.
asset.yml
:
- genome: GRCh38_chr21
fasta: "https://raw.githubusercontent.com/nf-core/test-datasets/references/references/GRCh38_chr21/GRCh38_chr21.fa"
gtf: "https://raw.githubusercontent.com/nf-core/test-datasets/references/references/GRCh38_chr21/GRCh38_chr21.gtf"
source_version: "CUSTOM"
readme: "https://raw.githubusercontent.com/nf-core/test-datasets/references/references/GRCh38_chr21/README.md"
source: "nf-core/references"
source_vcf: "GATK_BUNDLE"
species: "Homo_sapiens"
vcf: "https://raw.githubusercontent.com/nf-core/test-datasets/modules/data/genomics/homo_sapiens/genome/vcf/dbsnp_146.hg38.vcf.gz"
Each line represents a source for building a reference, a reference already built, or metadata.
Now, you can run the pipeline using:
nextflow run nf-core/references \
-profile <docker/singularity/.../institute> \
--input datasheet.yml \
--outdir <OUTDIR>
Please provide pipeline parameters via the CLI or Nextflow -params-file
option. Custom config files including those provided by the -c
Nextflow option can be used to provide any configuration except for parameters; see docs.
For more details and further functionality, please refer to the usage documentation and the parameter documentation.
Pipeline output
To see the results of an example test run with a full size dataset refer to the results tab on the nf-core website pipeline page. For more details about the output files and reports, please refer to the output documentation.
Credits
nf-core/references was originally written by Maxime U Garcia | Edmund Miller | Phil Ewels.
We thank the following people for their extensive assistance in the development of this pipeline:
- Adam Talbot
- Friederike Hanssen
- Harshil Patel
- James Fellows Yates
- Jonathan Manning
- Nicolas Vannieuwkerke
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 the Slack #references
channel (you can join with this invite).
Citations
If you use nf-core/references for your analysis, please cite it using the following doi: 10.5281/zenodo.14576225
An extensive list of references for the tools used by the pipeline can be found in the CITATIONS.md
file.
You can cite the nf-core
publication as follows:
The nf-core framework for community-curated bioinformatics pipelines.
Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso & Sven Nahnsen.
Nat Biotechnol. 2020 Feb 13. doi: 10.1038/s41587-020-0439-x.