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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
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.
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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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