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ONETOOL for the analysis of family-based big data

  • Yeunjoo E. Song
  • , Sungyoung Lee
  • , Kyungtaek Park
  • , Robert C. Elston
  • , Hyeon Jong Yang
  • , Sungho Won*
  • *Corresponding author for this work
  • Case Western Reserve University
  • Seoul National University
  • Soonchunhyang University

Research output: Contribution to journalJournal articlepeer-review

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.

Original languageEnglish
Pages (from-to)2851-2853
Number of pages3
JournalBioinformatics
Volume34
Issue number16
DOIs
StatePublished - 2018.08.15

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