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TREAT: a bioinformatics tool for variant annotations and visualizations in targeted and exome sequencing data
Summary: TREAT (Targeted RE-sequencing Annotation Tool) is a tool for facile navigation and mining of the variants from both targeted resequencing and whole exome sequencing. It provides a rich integration of publicly available as well as in-house developed annotations and visualizations for variant...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3259432/ https://www.ncbi.nlm.nih.gov/pubmed/22088845 http://dx.doi.org/10.1093/bioinformatics/btr612 |
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author | Asmann, Yan W. Middha, Sumit Hossain, Asif Baheti, Saurabh Li, Ying Chai, High-Seng Sun, Zhifu Duffy, Patrick H. Hadad, Ahmed A. Nair, Asha Liu, Xiaoyu Zhang, Yuji Klee, Eric W. Kalari, Krishna R. Kocher, Jean-Pierre A. |
author_facet | Asmann, Yan W. Middha, Sumit Hossain, Asif Baheti, Saurabh Li, Ying Chai, High-Seng Sun, Zhifu Duffy, Patrick H. Hadad, Ahmed A. Nair, Asha Liu, Xiaoyu Zhang, Yuji Klee, Eric W. Kalari, Krishna R. Kocher, Jean-Pierre A. |
author_sort | Asmann, Yan W. |
collection | PubMed |
description | Summary: TREAT (Targeted RE-sequencing Annotation Tool) is a tool for facile navigation and mining of the variants from both targeted resequencing and whole exome sequencing. It provides a rich integration of publicly available as well as in-house developed annotations and visualizations for variants, variant-hosting genes and host-gene pathways. Availability and implementation: TREAT is freely available to non-commercial users as either a stand-alone annotation and visualization tool, or as a comprehensive workflow integrating sequencing alignment and variant calling. The executables, instructions and the Amazon Cloud Images of TREAT can be downloaded at the website: http://ndc.mayo.edu/mayo/research/biostat/stand-alone-packages.cfm Contact: Hossain.Asif@mayo.edu; Kocher.JeanPierre@mayo.edu Supplementary information: Supplementary data are provided at Bioinformatics online. |
format | Online Article Text |
id | pubmed-3259432 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-32594322012-01-17 TREAT: a bioinformatics tool for variant annotations and visualizations in targeted and exome sequencing data Asmann, Yan W. Middha, Sumit Hossain, Asif Baheti, Saurabh Li, Ying Chai, High-Seng Sun, Zhifu Duffy, Patrick H. Hadad, Ahmed A. Nair, Asha Liu, Xiaoyu Zhang, Yuji Klee, Eric W. Kalari, Krishna R. Kocher, Jean-Pierre A. Bioinformatics Applications Note Summary: TREAT (Targeted RE-sequencing Annotation Tool) is a tool for facile navigation and mining of the variants from both targeted resequencing and whole exome sequencing. It provides a rich integration of publicly available as well as in-house developed annotations and visualizations for variants, variant-hosting genes and host-gene pathways. Availability and implementation: TREAT is freely available to non-commercial users as either a stand-alone annotation and visualization tool, or as a comprehensive workflow integrating sequencing alignment and variant calling. The executables, instructions and the Amazon Cloud Images of TREAT can be downloaded at the website: http://ndc.mayo.edu/mayo/research/biostat/stand-alone-packages.cfm Contact: Hossain.Asif@mayo.edu; Kocher.JeanPierre@mayo.edu Supplementary information: Supplementary data are provided at Bioinformatics online. Oxford University Press 2012-01-15 2011-11-15 /pmc/articles/PMC3259432/ /pubmed/22088845 http://dx.doi.org/10.1093/bioinformatics/btr612 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Asmann, Yan W. Middha, Sumit Hossain, Asif Baheti, Saurabh Li, Ying Chai, High-Seng Sun, Zhifu Duffy, Patrick H. Hadad, Ahmed A. Nair, Asha Liu, Xiaoyu Zhang, Yuji Klee, Eric W. Kalari, Krishna R. Kocher, Jean-Pierre A. TREAT: a bioinformatics tool for variant annotations and visualizations in targeted and exome sequencing data |
title | TREAT: a bioinformatics tool for variant annotations and visualizations in targeted and exome sequencing data |
title_full | TREAT: a bioinformatics tool for variant annotations and visualizations in targeted and exome sequencing data |
title_fullStr | TREAT: a bioinformatics tool for variant annotations and visualizations in targeted and exome sequencing data |
title_full_unstemmed | TREAT: a bioinformatics tool for variant annotations and visualizations in targeted and exome sequencing data |
title_short | TREAT: a bioinformatics tool for variant annotations and visualizations in targeted and exome sequencing data |
title_sort | treat: a bioinformatics tool for variant annotations and visualizations in targeted and exome sequencing data |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3259432/ https://www.ncbi.nlm.nih.gov/pubmed/22088845 http://dx.doi.org/10.1093/bioinformatics/btr612 |
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