ONETOOL for the analysis of family-based big data.

Song, Yeunjoo E; Lee, Sungyoung; Park, Kyungtaek; Elston, Robert C; Yang, Hyeon-Jong; Won, Sungho · Bioinformatics · 2018

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Abstract

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. 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. ONETOOL is freely available from http://healthstat.snu.ac.kr/software/onetool/. Supplementary data are available at Bioinformatics online.

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