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EthSEQ: ethnicity annotation from whole exome sequencing data
SUMMARY: Whole exome sequencing (WES) is widely utilized both in translational cancer genomics studies and in the setting of precision medicine. Stratification of individual’s ethnicity is fundamental for the correct interpretation of personal genomic variation impact. We implemented EthSEQ to provi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5818140/ https://www.ncbi.nlm.nih.gov/pubmed/28369222 http://dx.doi.org/10.1093/bioinformatics/btx165 |
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author | Romanel, Alessandro Zhang, Tuo Elemento, Olivier Demichelis, Francesca |
author_facet | Romanel, Alessandro Zhang, Tuo Elemento, Olivier Demichelis, Francesca |
author_sort | Romanel, Alessandro |
collection | PubMed |
description | SUMMARY: Whole exome sequencing (WES) is widely utilized both in translational cancer genomics studies and in the setting of precision medicine. Stratification of individual’s ethnicity is fundamental for the correct interpretation of personal genomic variation impact. We implemented EthSEQ to provide reliable and rapid ethnicity annotation from whole exome sequencing individual’s data, validated it on 1000 Genome Project and TCGA data (2700 samples) demonstrating high precision, and finally assessed computational performances compared to other tools. EthSEQ can be integrated into any WES based processing pipeline and exploits multi-core capabilities. AVAILABILITY AND IMPLEMENTATION: R package available at github.com/aromanel/EthSEQ and CRAN repository. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-5818140 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58181402018-02-19 EthSEQ: ethnicity annotation from whole exome sequencing data Romanel, Alessandro Zhang, Tuo Elemento, Olivier Demichelis, Francesca Bioinformatics Applications Notes SUMMARY: Whole exome sequencing (WES) is widely utilized both in translational cancer genomics studies and in the setting of precision medicine. Stratification of individual’s ethnicity is fundamental for the correct interpretation of personal genomic variation impact. We implemented EthSEQ to provide reliable and rapid ethnicity annotation from whole exome sequencing individual’s data, validated it on 1000 Genome Project and TCGA data (2700 samples) demonstrating high precision, and finally assessed computational performances compared to other tools. EthSEQ can be integrated into any WES based processing pipeline and exploits multi-core capabilities. AVAILABILITY AND IMPLEMENTATION: R package available at github.com/aromanel/EthSEQ and CRAN repository. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-08-01 2017-03-27 /pmc/articles/PMC5818140/ /pubmed/28369222 http://dx.doi.org/10.1093/bioinformatics/btx165 Text en © The Author 2017. 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 Romanel, Alessandro Zhang, Tuo Elemento, Olivier Demichelis, Francesca EthSEQ: ethnicity annotation from whole exome sequencing data |
title | EthSEQ: ethnicity annotation from whole exome sequencing data |
title_full | EthSEQ: ethnicity annotation from whole exome sequencing data |
title_fullStr | EthSEQ: ethnicity annotation from whole exome sequencing data |
title_full_unstemmed | EthSEQ: ethnicity annotation from whole exome sequencing data |
title_short | EthSEQ: ethnicity annotation from whole exome sequencing data |
title_sort | ethseq: ethnicity annotation from whole exome sequencing data |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5818140/ https://www.ncbi.nlm.nih.gov/pubmed/28369222 http://dx.doi.org/10.1093/bioinformatics/btx165 |
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