Cargando…
A new tool for prioritization of sequence variants from whole exome sequencing data
BACKGROUND: Whole exome sequencing (WES) has provided a means for researchers to gain access to a highly enriched subset of the human genome in which to search for variants that are likely to be pathogenic and possibly provide important insights into disease mechanisms. In developing countries, bioi...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4929716/ https://www.ncbi.nlm.nih.gov/pubmed/27375772 http://dx.doi.org/10.1186/s13029-016-0056-8 |
_version_ | 1782440642200207360 |
---|---|
author | Glanzmann, Brigitte Herbst, Hendri Kinnear, Craig J. Möller, Marlo Gamieldien, Junaid Bardien, Soraya |
author_facet | Glanzmann, Brigitte Herbst, Hendri Kinnear, Craig J. Möller, Marlo Gamieldien, Junaid Bardien, Soraya |
author_sort | Glanzmann, Brigitte |
collection | PubMed |
description | BACKGROUND: Whole exome sequencing (WES) has provided a means for researchers to gain access to a highly enriched subset of the human genome in which to search for variants that are likely to be pathogenic and possibly provide important insights into disease mechanisms. In developing countries, bioinformatics capacity and expertise is severely limited and wet bench scientists are required to take on the challenging task of understanding and implementing the barrage of bioinformatics tools that are available to them. RESULTS: We designed a novel method for the filtration of WES data called TAPER™ (Tool for Automated selection and Prioritization for Efficient Retrieval of sequence variants). CONCLUSIONS: TAPER™ implements a set of logical steps by which to prioritize candidate variants that could be associated with disease and this is aimed for implementation in biomedical laboratories with limited bioinformatics capacity. TAPER™ is free, can be setup on a Windows operating system (from Windows 7 and above) and does not require any programming knowledge. In summary, we have developed a freely available tool that simplifies variant prioritization from WES data in order to facilitate discovery of disease-causing genes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13029-016-0056-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4929716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49297162016-07-02 A new tool for prioritization of sequence variants from whole exome sequencing data Glanzmann, Brigitte Herbst, Hendri Kinnear, Craig J. Möller, Marlo Gamieldien, Junaid Bardien, Soraya Source Code Biol Med Software BACKGROUND: Whole exome sequencing (WES) has provided a means for researchers to gain access to a highly enriched subset of the human genome in which to search for variants that are likely to be pathogenic and possibly provide important insights into disease mechanisms. In developing countries, bioinformatics capacity and expertise is severely limited and wet bench scientists are required to take on the challenging task of understanding and implementing the barrage of bioinformatics tools that are available to them. RESULTS: We designed a novel method for the filtration of WES data called TAPER™ (Tool for Automated selection and Prioritization for Efficient Retrieval of sequence variants). CONCLUSIONS: TAPER™ implements a set of logical steps by which to prioritize candidate variants that could be associated with disease and this is aimed for implementation in biomedical laboratories with limited bioinformatics capacity. TAPER™ is free, can be setup on a Windows operating system (from Windows 7 and above) and does not require any programming knowledge. In summary, we have developed a freely available tool that simplifies variant prioritization from WES data in order to facilitate discovery of disease-causing genes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13029-016-0056-8) contains supplementary material, which is available to authorized users. BioMed Central 2016-07-01 /pmc/articles/PMC4929716/ /pubmed/27375772 http://dx.doi.org/10.1186/s13029-016-0056-8 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Glanzmann, Brigitte Herbst, Hendri Kinnear, Craig J. Möller, Marlo Gamieldien, Junaid Bardien, Soraya A new tool for prioritization of sequence variants from whole exome sequencing data |
title | A new tool for prioritization of sequence variants from whole exome sequencing data |
title_full | A new tool for prioritization of sequence variants from whole exome sequencing data |
title_fullStr | A new tool for prioritization of sequence variants from whole exome sequencing data |
title_full_unstemmed | A new tool for prioritization of sequence variants from whole exome sequencing data |
title_short | A new tool for prioritization of sequence variants from whole exome sequencing data |
title_sort | new tool for prioritization of sequence variants from whole exome sequencing data |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4929716/ https://www.ncbi.nlm.nih.gov/pubmed/27375772 http://dx.doi.org/10.1186/s13029-016-0056-8 |
work_keys_str_mv | AT glanzmannbrigitte anewtoolforprioritizationofsequencevariantsfromwholeexomesequencingdata AT herbsthendri anewtoolforprioritizationofsequencevariantsfromwholeexomesequencingdata AT kinnearcraigj anewtoolforprioritizationofsequencevariantsfromwholeexomesequencingdata AT mollermarlo anewtoolforprioritizationofsequencevariantsfromwholeexomesequencingdata AT gamieldienjunaid anewtoolforprioritizationofsequencevariantsfromwholeexomesequencingdata AT bardiensoraya anewtoolforprioritizationofsequencevariantsfromwholeexomesequencingdata AT glanzmannbrigitte newtoolforprioritizationofsequencevariantsfromwholeexomesequencingdata AT herbsthendri newtoolforprioritizationofsequencevariantsfromwholeexomesequencingdata AT kinnearcraigj newtoolforprioritizationofsequencevariantsfromwholeexomesequencingdata AT mollermarlo newtoolforprioritizationofsequencevariantsfromwholeexomesequencingdata AT gamieldienjunaid newtoolforprioritizationofsequencevariantsfromwholeexomesequencingdata AT bardiensoraya newtoolforprioritizationofsequencevariantsfromwholeexomesequencingdata |