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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
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 |
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author | Song, Yeunjoo E Lee, Sungyoung Park, Kyungtaek Elston, Robert C Yang, Hyeon-Jong Won, Sungho |
author_facet | Song, Yeunjoo E Lee, Sungyoung Park, Kyungtaek Elston, Robert C Yang, Hyeon-Jong Won, Sungho |
author_sort | Song, Yeunjoo E |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6084591 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-60845912018-08-14 ONETOOL for the analysis of family-based big data Song, Yeunjoo E Lee, Sungyoung Park, Kyungtaek Elston, Robert C Yang, Hyeon-Jong Won, Sungho Bioinformatics Applications Notes 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. Oxford University Press 2018-08-15 2018-03-27 /pmc/articles/PMC6084591/ /pubmed/29596615 http://dx.doi.org/10.1093/bioinformatics/bty180 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Song, Yeunjoo E Lee, Sungyoung Park, Kyungtaek Elston, Robert C Yang, Hyeon-Jong Won, Sungho ONETOOL for the analysis of family-based big data |
title | ONETOOL for the analysis of family-based big data |
title_full | ONETOOL for the analysis of family-based big data |
title_fullStr | ONETOOL for the analysis of family-based big data |
title_full_unstemmed | ONETOOL for the analysis of family-based big data |
title_short | ONETOOL for the analysis of family-based big data |
title_sort | onetool for the analysis of family-based big data |
topic | Applications Notes |
url | 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 |
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