VarSifter: visualizing and analyzing exome-scale sequence variation data on a desktop computer
JK Teer, ED Green, JC Mullikin, LG Biesecker - Bioinformatics, 2012 - academic.oup.com
JK Teer, ED Green, JC Mullikin, LG Biesecker
Bioinformatics, 2012•academic.oup.comVarSifter is a graphical software tool for desktop computers that allows investigators of
varying computational skills to easily and quickly sort, filter, and sift through sequence
variation data. A variety of filters and a custom query framework allow filtering based on any
combination of sample and annotation information. By simplifying visualization and analyses
of exome-scale sequence variation data, this program will help bring the power and promise
of massively-parallel DNA sequencing to a broader group of researchers. Availability and …
varying computational skills to easily and quickly sort, filter, and sift through sequence
variation data. A variety of filters and a custom query framework allow filtering based on any
combination of sample and annotation information. By simplifying visualization and analyses
of exome-scale sequence variation data, this program will help bring the power and promise
of massively-parallel DNA sequencing to a broader group of researchers. Availability and …
Abstract
Summary: VarSifter is a graphical software tool for desktop computers that allows investigators of varying computational skills to easily and quickly sort, filter, and sift through sequence variation data. A variety of filters and a custom query framework allow filtering based on any combination of sample and annotation information. By simplifying visualization and analyses of exome-scale sequence variation data, this program will help bring the power and promise of massively-parallel DNA sequencing to a broader group of researchers.
Availability and Implementation: VarSifter is written in Java, and is freely available in source and binary versions, along with a User Guide, at http://research.nhgri.nih.gov/software/VarSifter/.
Contact: mullikin@mail.nih.gov
Supplementary Information: Additional figures and methods available online at the journal's website.
Oxford University Press