ONETOOL for the analysis of family-based big data

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/soft ware/onetool/. Contact: won1@snu.ac.kr or pedyang@schmc.ac.kr Supplementary information: Supplementary data are available at Bioinformatics online.