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ONETOOL for the analysis of family-based big data
- Source :
- Bioinformatics
- Publication Year :
- 2018
- Publisher :
- Oxford University Press (OUP), 2018.
-
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. Availability and implementation ONETOOL is freely available from http://healthstat.snu.ac.kr/software/onetool/. Supplementary information Supplementary data are available at Bioinformatics online.
- Subjects :
- Big Data
0301 basic medicine
Statistics and Probability
Databases, Factual
Computer science
Population
Big data
MEDLINE
Biochemistry
03 medical and health sciences
0302 clinical medicine
Software
education
Molecular Biology
education.field_of_study
business.industry
Genetics and Population Analysis
Applications Notes
Data science
Computer Science Applications
Computational Mathematics
030104 developmental biology
Computational Theory and Mathematics
Family based
business
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 13674811 and 13674803
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- Bioinformatics
- Accession number :
- edsair.doi.dedup.....bacbd5caa66394cace7a634076c7a8c0
- Full Text :
- https://doi.org/10.1093/bioinformatics/bty180