ONETOOL for the analysis of family-based big data

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...

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Detalles Bibliográficos
Autores principales: Song, Yeunjoo E, Lee, Sungyoung, Park, Kyungtaek, Elston, Robert C, Yang, Hyeon-Jong, Won, Sungho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6084591/
https://www.ncbi.nlm.nih.gov/pubmed/29596615
http://dx.doi.org/10.1093/bioinformatics/bty180
Descripción
Sumario: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.

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