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.
CITATION STYLE
Song, Y. E., Lee, S., Park, K., Elston, R. C., Yang, H. J., & Won, S. (2018). ONETOOL for the analysis of family-based big data. Bioinformatics, 34(16), 2851–2853. https://doi.org/10.1093/bioinformatics/bty180
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