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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/software/onetool/. Supplementary information:Supplementary data are available at Bioinformatics online.

SUBMITTER: Song YE 

PROVIDER: S-EPMC6084591 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

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ONETOOL for the analysis of family-based big data.

Song Yeunjoo E YE   Lee Sungyoung S   Park Kyungtaek K   Elston Robert C RC   Yang Hyeon-Jong HJ   Won Sungho S  

Bioinformatics (Oxford, England) 20180801 16


<h4>Motivation</h4>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.<h4>Results</h4>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  ...[more]

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