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ONETOOL for the analysis of family-based big data
- Authors
- Song, Yeunjoo E.; Lee, Sungyoung; Park, Kyungtaek; Elston, Robert C.; Yang, Hyeon-Jong; Won, Sungho
- Issue Date
- 15-Aug-2018
- Publisher
- Oxford University Press
- Keywords
- pediatrics; ONETOOL; family-based big data
- Citation
- Bioinformatics, v.34, no.16, pp 2851 - 2853
- Pages
- 3
- Journal Title
- Bioinformatics
- Volume
- 34
- Number
- 16
- Start Page
- 2851
- End Page
- 2853
- ISSN
- 1367-4803
1367-4811
- 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.
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Related Researcher
- Yang, Hyeon Jong
- College of Medicine (Department of Pediatrics)