Skip to content

Integrate DNA-seq and RNA-seq data to identify mutations that are associated with regulatory effects on gene expression.

License

Notifications You must be signed in to change notification settings

fulcrumgenomics/regtools

 
 

Repository files navigation

Build Status Documentation Status Coverage Status

RegTools

Tools that integrate DNA-seq and RNA-seq data to help interpret mutations in a regulatory and splicing context.

Features

  • Identify evidence for aberrant splicing in RNA reads near a list of variants.
  • Extract exon-exon junctions from a RNAseq BAM file.
  • Annotate exon-exon junctions with information from a known transcriptome.
  • Annotate variants with splice-region(the definition of this region is configurable) annotations.

Hardware requirements

RegTools requires only a standard computer with enough RAM to support the in-memory operations.

Software requirements

OS Requirements This package is supported for macOS and Linux. The package has been tested on the following systems:

macOS: macOS 10.12 (Sierra), macOS 10.13 (High Sierra), macOS 10.14 (Mojave), macOS 10.15 (Catalina), macOS 11 (Big Sur), macOS 12 (Monterey)

Linux: Ubuntu 16.04, Ubuntu 18.04, Ubuntu 20.04

Installation

Clone and install regtools by running the following:

    git clone https://github.com/griffithlab/regtools
    cd regtools/
    mkdir build
    cd build/
    cmake ..
    make

Installation should take 1-5 minutes.

For convienience we also maintain a docker image available at https://hub.docker.com/r/griffithlab/regtools/

Usage:

    regtools --help

If one wishes to test their installation, we include test data under test_data.

Here's an example command using that data along with the example output. This should run in under a minute.

regtools cis-splice-effects identify -s RF -e 10 -i 10 test_data/HCC1395_chr22.vcf.gz test_data/HCC1395_tumor.bam test_data/chr22_with_ERCC92.fa test_data/chr22_with_ERCC92.gtf

Variant 22	42129188	42129189	-1
Variant region is 22:42128784-42130813

chrom	start	end	name	score	strand	splice_site	acceptors_skipped	exons_skipped	donors_skipped	anchor	known_donor	known_acceptor	known_junction	gene_names	gene_ids	transcripts	variant_info
position = 22:42125408-42125409
position = 22:42130565-42130566
22	42125407	42130567	JUNC00000001	4	+	GT-AG	0	0	0	D	1	0	0	NDUFA6-AS1	ENSG00000237037	ENST00000439129	22:42129188-42129189
position = 22:42128881-42128882
position = 22:42129670-42129671
22	42128880	42129672	JUNC00000002	3	+	GT-AG	0	0	0	N	0	0	0	NA	NA	NA	22:42129188-42129189
position = 22:42128944-42128945
position = 22:42129031-42129032
22	42128943	42129033	JUNC00000003	4	-	GT-GG	1	0	0	D	1	0	0	CYP2D6	ENSG00000100197	ENST00000360608,ENST00000389970,ENST00000488442	22:42129188-42129189
position = 22:42129783-42129784
position = 22:42143453-42143454
22	42129782	42143455	JUNC00000004	2	+	GC-AG	9	8	9	N	0	0	0	NA	NA	NA	22:42129188-42129189
position = 22:42130224-42130225
position = 22:42130565-42130566
22	42130223	42130567	JUNC00000005	2	+	GT-AG	0	0	0	N	0	0	0	NA	NA	NA	22:42129188-42129189

Contribute

  • Issue Tracker: github.com/griffithlab/regtools/issues
  • Source Code: github.com/griffithlab/regtools

Support

If you have issues using the project, please let us know. We have a mailing list located at: [email protected] and the forum is here - https://groups.google.com/forum/#!forum/regtools. Github issues are another option to contact the project about potential bugs.

Documentation

The documentation for the project is hosted on Read the Docs.

If you would like to build the documentation locally, please install mkdocs, pip install mkdocs --user should work on most machines. Then run mkdocs serve from within the regtools base directory.

Acknowledgements

Regtools uses several open-source libraries. We would like to thank the developers of htslib and bedtools. We would also like to thank Travis Abbott for useful comments and code.

License

The project is licensed under the MIT license.

Stable release with DOI

DOI

About

Integrate DNA-seq and RNA-seq data to identify mutations that are associated with regulatory effects on gene expression.

Resources

License

Code of conduct

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • C++ 49.0%
  • C 37.2%
  • Shell 4.9%
  • Python 3.9%
  • Makefile 1.7%
  • Roff 1.0%
  • Other 2.3%