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Enhanced annotations and features for comparing thousands of Pseudomonas genomes in the Pseudomonas genome database

The Pseudomonas Genome Database (http://www.pseudomonas.com) is well known for the application of community-based annotation approaches for producing a high-quality Pseudomonas aeruginosa PAO1 genome annotation, and facilitating whole-genome comparative analyses with other Pseudomonas strains. To ai...

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Autores principales: Winsor, Geoffrey L., Griffiths, Emma J., Lo, Raymond, Dhillon, Bhavjinder K., Shay, Julie A., Brinkman, Fiona S. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702867/
https://www.ncbi.nlm.nih.gov/pubmed/26578582
http://dx.doi.org/10.1093/nar/gkv1227
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author Winsor, Geoffrey L.
Griffiths, Emma J.
Lo, Raymond
Dhillon, Bhavjinder K.
Shay, Julie A.
Brinkman, Fiona S. L.
author_facet Winsor, Geoffrey L.
Griffiths, Emma J.
Lo, Raymond
Dhillon, Bhavjinder K.
Shay, Julie A.
Brinkman, Fiona S. L.
author_sort Winsor, Geoffrey L.
collection PubMed
description The Pseudomonas Genome Database (http://www.pseudomonas.com) is well known for the application of community-based annotation approaches for producing a high-quality Pseudomonas aeruginosa PAO1 genome annotation, and facilitating whole-genome comparative analyses with other Pseudomonas strains. To aid analysis of potentially thousands of complete and draft genome assemblies, this database and analysis platform was upgraded to integrate curated genome annotations and isolate metadata with enhanced tools for larger scale comparative analysis and visualization. Manually curated gene annotations are supplemented with improved computational analyses that help identify putative drug targets and vaccine candidates or assist with evolutionary studies by identifying orthologs, pathogen-associated genes and genomic islands. The database schema has been updated to integrate isolate metadata that will facilitate more powerful analysis of genomes across datasets in the future. We continue to place an emphasis on providing high-quality updates to gene annotations through regular review of the scientific literature and using community-based approaches including a major new Pseudomonas community initiative for the assignment of high-quality gene ontology terms to genes. As we further expand from thousands of genomes, we plan to provide enhancements that will aid data visualization and analysis arising from whole-genome comparative studies including more pan-genome and population-based approaches.
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spelling pubmed-47028672016-01-07 Enhanced annotations and features for comparing thousands of Pseudomonas genomes in the Pseudomonas genome database Winsor, Geoffrey L. Griffiths, Emma J. Lo, Raymond Dhillon, Bhavjinder K. Shay, Julie A. Brinkman, Fiona S. L. Nucleic Acids Res Database Issue The Pseudomonas Genome Database (http://www.pseudomonas.com) is well known for the application of community-based annotation approaches for producing a high-quality Pseudomonas aeruginosa PAO1 genome annotation, and facilitating whole-genome comparative analyses with other Pseudomonas strains. To aid analysis of potentially thousands of complete and draft genome assemblies, this database and analysis platform was upgraded to integrate curated genome annotations and isolate metadata with enhanced tools for larger scale comparative analysis and visualization. Manually curated gene annotations are supplemented with improved computational analyses that help identify putative drug targets and vaccine candidates or assist with evolutionary studies by identifying orthologs, pathogen-associated genes and genomic islands. The database schema has been updated to integrate isolate metadata that will facilitate more powerful analysis of genomes across datasets in the future. We continue to place an emphasis on providing high-quality updates to gene annotations through regular review of the scientific literature and using community-based approaches including a major new Pseudomonas community initiative for the assignment of high-quality gene ontology terms to genes. As we further expand from thousands of genomes, we plan to provide enhancements that will aid data visualization and analysis arising from whole-genome comparative studies including more pan-genome and population-based approaches. Oxford University Press 2016-01-04 2015-11-17 /pmc/articles/PMC4702867/ /pubmed/26578582 http://dx.doi.org/10.1093/nar/gkv1227 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Winsor, Geoffrey L.
Griffiths, Emma J.
Lo, Raymond
Dhillon, Bhavjinder K.
Shay, Julie A.
Brinkman, Fiona S. L.
Enhanced annotations and features for comparing thousands of Pseudomonas genomes in the Pseudomonas genome database
title Enhanced annotations and features for comparing thousands of Pseudomonas genomes in the Pseudomonas genome database
title_full Enhanced annotations and features for comparing thousands of Pseudomonas genomes in the Pseudomonas genome database
title_fullStr Enhanced annotations and features for comparing thousands of Pseudomonas genomes in the Pseudomonas genome database
title_full_unstemmed Enhanced annotations and features for comparing thousands of Pseudomonas genomes in the Pseudomonas genome database
title_short Enhanced annotations and features for comparing thousands of Pseudomonas genomes in the Pseudomonas genome database
title_sort enhanced annotations and features for comparing thousands of pseudomonas genomes in the pseudomonas genome database
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702867/
https://www.ncbi.nlm.nih.gov/pubmed/26578582
http://dx.doi.org/10.1093/nar/gkv1227
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