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FILTUS: a desktop GUI for fast and efficient detection of disease-causing variants, including a novel autozygosity detector

Authors :
Kristina S. Gjøtterud
Kaja Kristine Selmer
Magnus Dehli Vigeland
Source :
Bioinformatics
Publication Year :
2016
Publisher :
Oxford University Press (OUP), 2016.

Abstract

Summary: FILTUS is a stand-alone tool for working with annotated variant files, e.g. when searching for variants causing Mendelian disease. Very flexible in terms of input file formats, FILTUS offers efficient filtering and a range of downstream utilities, including statistical analysis of gene sharing patterns, detection of de novo mutations in trios, quality control plots and autozygosity mapping. The autozygosity mapping is based on a hidden Markov model and enables accurate detection of autozygous regions directly from exome-scale variant files. Availability and implementation: FILTUS is written in Python and runs on Windows, Mac and Linux. Binaries and source code are freely available at http://folk.uio.no/magnusv/filtus.html and on GitHub: https://github.com/magnusdv/filtus. Automatic installation is available via PyPI (e.g. pip install filtus). Contact: magnusdv@medisin.uio.no Supplementary information: Supplementary data are available at Bioinformatics online.

Details

ISSN :
13674811 and 13674803
Volume :
32
Database :
OpenAIRE
Journal :
Bioinformatics
Accession number :
edsair.doi.dedup.....8cbaa53caa40be18511165235fe5f1c7
Full Text :
https://doi.org/10.1093/bioinformatics/btw046