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Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
Published on: November 10, 2023
ONETOOL for the analysis of family-based big data
Yeunjoo E Song1, Sungyoung Lee2, Kyungtaek Park2
1Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.
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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