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ONETOOL for the analysis of family-based big data
- Song, Yeunjoo E.;
- Lee, Sungyoung;
- Park, Kyungtaek;
- Elston, Robert C.;
- Yang, Hyeon-Jong;
- 외 1명
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28초록
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.
키워드
- 제목
- ONETOOL for the analysis of family-based big data
- 저자
- Song, Yeunjoo E.; Lee, Sungyoung; Park, Kyungtaek; Elston, Robert C.; Yang, Hyeon-Jong; Won, Sungho
- 발행일
- 2018-08-15
- 유형
- Article
- 저널명
- Bioinformatics
- 권
- 34
- 호
- 16
- 페이지
- 2851 ~ 2853
- 언어
- ENG
- 출판사
- Oxford University Press
- 발행국가
- 영국
- 분량
- 3 페이지
- ISSN
- E 1367-4811
P 1367-4803