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PGAT: a multistrain analysis resource for microbial genomes
Motivation: The Prokaryotic-genome Analysis Tool (PGAT) is a web-based database application for comparing gene content and sequence across multiple microbial genomes facilitating the discovery of genetic differences that may explain observed phenotypes. PGAT supports database queries to identify gen...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3157930/ https://www.ncbi.nlm.nih.gov/pubmed/21765097 http://dx.doi.org/10.1093/bioinformatics/btr418 |
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author | Brittnacher, M. J. Fong, C. Hayden, H. S. Jacobs, M. A. Radey, Matthew Rohmer, L. |
author_facet | Brittnacher, M. J. Fong, C. Hayden, H. S. Jacobs, M. A. Radey, Matthew Rohmer, L. |
author_sort | Brittnacher, M. J. |
collection | PubMed |
description | Motivation: The Prokaryotic-genome Analysis Tool (PGAT) is a web-based database application for comparing gene content and sequence across multiple microbial genomes facilitating the discovery of genetic differences that may explain observed phenotypes. PGAT supports database queries to identify genes that are present or absent in user-selected genomes, comparison of sequence polymorphisms in sets of orthologous genes, multigenome display of regions surrounding a query gene, comparison of the distribution of genes in metabolic pathways and manual community annotation. Availability and Implementation:The PGAT website may be accessed at http://nwrce.org/pgat. Contact: mbrittna@uw.edu |
format | Online Article Text |
id | pubmed-3157930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-31579302011-08-18 PGAT: a multistrain analysis resource for microbial genomes Brittnacher, M. J. Fong, C. Hayden, H. S. Jacobs, M. A. Radey, Matthew Rohmer, L. Bioinformatics Applications Note Motivation: The Prokaryotic-genome Analysis Tool (PGAT) is a web-based database application for comparing gene content and sequence across multiple microbial genomes facilitating the discovery of genetic differences that may explain observed phenotypes. PGAT supports database queries to identify genes that are present or absent in user-selected genomes, comparison of sequence polymorphisms in sets of orthologous genes, multigenome display of regions surrounding a query gene, comparison of the distribution of genes in metabolic pathways and manual community annotation. Availability and Implementation:The PGAT website may be accessed at http://nwrce.org/pgat. Contact: mbrittna@uw.edu Oxford University Press 2011-09-01 2011-07-15 /pmc/articles/PMC3157930/ /pubmed/21765097 http://dx.doi.org/10.1093/bioinformatics/btr418 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Brittnacher, M. J. Fong, C. Hayden, H. S. Jacobs, M. A. Radey, Matthew Rohmer, L. PGAT: a multistrain analysis resource for microbial genomes |
title | PGAT: a multistrain analysis resource for microbial genomes |
title_full | PGAT: a multistrain analysis resource for microbial genomes |
title_fullStr | PGAT: a multistrain analysis resource for microbial genomes |
title_full_unstemmed | PGAT: a multistrain analysis resource for microbial genomes |
title_short | PGAT: a multistrain analysis resource for microbial genomes |
title_sort | pgat: a multistrain analysis resource for microbial genomes |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3157930/ https://www.ncbi.nlm.nih.gov/pubmed/21765097 http://dx.doi.org/10.1093/bioinformatics/btr418 |
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