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The Princeton Protein Orthology Database (P-POD): A Comparative Genomics Analysis Tool for Biologists
Many biological databases that provide comparative genomics information and tools are now available on the internet. While certainly quite useful, to our knowledge none of the existing databases combine results from multiple comparative genomics methods with manually curated information from the lit...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2007
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1942082/ https://www.ncbi.nlm.nih.gov/pubmed/17712414 http://dx.doi.org/10.1371/journal.pone.0000766 |
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author | Heinicke, Sven Livstone, Michael S. Lu, Charles Oughtred, Rose Kang, Fan Angiuoli, Samuel V. White, Owen Botstein, David Dolinski, Kara |
author_facet | Heinicke, Sven Livstone, Michael S. Lu, Charles Oughtred, Rose Kang, Fan Angiuoli, Samuel V. White, Owen Botstein, David Dolinski, Kara |
author_sort | Heinicke, Sven |
collection | PubMed |
description | Many biological databases that provide comparative genomics information and tools are now available on the internet. While certainly quite useful, to our knowledge none of the existing databases combine results from multiple comparative genomics methods with manually curated information from the literature. Here we describe the Princeton Protein Orthology Database (P-POD, http://ortholog.princeton.edu), a user-friendly database system that allows users to find and visualize the phylogenetic relationships among predicted orthologs (based on the OrthoMCL method) to a query gene from any of eight eukaryotic organisms, and to see the orthologs in a wider evolutionary context (based on the Jaccard clustering method). In addition to the phylogenetic information, the database contains experimental results manually collected from the literature that can be compared to the computational analyses, as well as links to relevant human disease and gene information via the OMIM, model organism, and sequence databases. Our aim is for the P-POD resource to be extremely useful to typical experimental biologists wanting to learn more about the evolutionary context of their favorite genes. P-POD is based on the commonly used Generic Model Organism Database (GMOD) schema and can be downloaded in its entirety for installation on one's own system. Thus, bioinformaticians and software developers may also find P-POD useful because they can use the P-POD database infrastructure when developing their own comparative genomics resources and database tools. |
format | Text |
id | pubmed-1942082 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-19420822007-08-22 The Princeton Protein Orthology Database (P-POD): A Comparative Genomics Analysis Tool for Biologists Heinicke, Sven Livstone, Michael S. Lu, Charles Oughtred, Rose Kang, Fan Angiuoli, Samuel V. White, Owen Botstein, David Dolinski, Kara PLoS One Research Article Many biological databases that provide comparative genomics information and tools are now available on the internet. While certainly quite useful, to our knowledge none of the existing databases combine results from multiple comparative genomics methods with manually curated information from the literature. Here we describe the Princeton Protein Orthology Database (P-POD, http://ortholog.princeton.edu), a user-friendly database system that allows users to find and visualize the phylogenetic relationships among predicted orthologs (based on the OrthoMCL method) to a query gene from any of eight eukaryotic organisms, and to see the orthologs in a wider evolutionary context (based on the Jaccard clustering method). In addition to the phylogenetic information, the database contains experimental results manually collected from the literature that can be compared to the computational analyses, as well as links to relevant human disease and gene information via the OMIM, model organism, and sequence databases. Our aim is for the P-POD resource to be extremely useful to typical experimental biologists wanting to learn more about the evolutionary context of their favorite genes. P-POD is based on the commonly used Generic Model Organism Database (GMOD) schema and can be downloaded in its entirety for installation on one's own system. Thus, bioinformaticians and software developers may also find P-POD useful because they can use the P-POD database infrastructure when developing their own comparative genomics resources and database tools. Public Library of Science 2007-08-22 /pmc/articles/PMC1942082/ /pubmed/17712414 http://dx.doi.org/10.1371/journal.pone.0000766 Text en Heinicke et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Heinicke, Sven Livstone, Michael S. Lu, Charles Oughtred, Rose Kang, Fan Angiuoli, Samuel V. White, Owen Botstein, David Dolinski, Kara The Princeton Protein Orthology Database (P-POD): A Comparative Genomics Analysis Tool for Biologists |
title | The Princeton Protein Orthology Database (P-POD): A Comparative Genomics Analysis Tool for Biologists |
title_full | The Princeton Protein Orthology Database (P-POD): A Comparative Genomics Analysis Tool for Biologists |
title_fullStr | The Princeton Protein Orthology Database (P-POD): A Comparative Genomics Analysis Tool for Biologists |
title_full_unstemmed | The Princeton Protein Orthology Database (P-POD): A Comparative Genomics Analysis Tool for Biologists |
title_short | The Princeton Protein Orthology Database (P-POD): A Comparative Genomics Analysis Tool for Biologists |
title_sort | princeton protein orthology database (p-pod): a comparative genomics analysis tool for biologists |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1942082/ https://www.ncbi.nlm.nih.gov/pubmed/17712414 http://dx.doi.org/10.1371/journal.pone.0000766 |
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