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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초록

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

pediatrics; ONETOOL; family-based big data; ERA
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
DOI
10.1093/bioinformatics/bty180
발행일
2018-08-15
유형
Article
저널명
Bioinformatics
권
34
호
16
페이지
2851 ~ 2853