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ONETOOL for the analysis of family-based big data

Authors :
Yeunjoo E. Song
Sungho Won
Sungyoung Lee
Kyungtaek Park
Robert C. Elston
Hyeon Jong Yang
Source :
Bioinformatics
Publication Year :
2018
Publisher :
Oxford University Press (OUP), 2018.

Abstract

Motivation Despite the need for separate tools to analyze family-based data, there are only a handful of tools optimized for family-based big data compared to the number of tools available for analyzing population-based data. Results ONETOOL implements the properties of well-known existing family data analysis tools and recently developed methods in a computationally efficient manner, and so is suitable for analyzing the vast amount of variant data available from sequencing family members, providing a rich choice of analysis methods for big data on families. Availability and implementation ONETOOL is freely available from http://healthstat.snu.ac.kr/software/onetool/. Supplementary information Supplementary data are available at Bioinformatics online.

Details

ISSN :
13674811 and 13674803
Volume :
34
Database :
OpenAIRE
Journal :
Bioinformatics
Accession number :
edsair.doi.dedup.....bacbd5caa66394cace7a634076c7a8c0
Full Text :
https://doi.org/10.1093/bioinformatics/bty180