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Detecting biological network organization and functional gene orthologs
SUMMARY: We developed a package TripletSearch to compute relationships within triplets of genes based on Roundup, an orthologous gene database containing >1500 genomes. These relationships, derived from the coevolution of genes, provide valuable information in the detection of biological network...
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/PMC3187654/ https://www.ncbi.nlm.nih.gov/pubmed/21856738 http://dx.doi.org/10.1093/bioinformatics/btr485 |
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author | Cui, Jike DeLuca, Todd F. Jung, Jae-Yoon Wall, Dennis P. |
author_facet | Cui, Jike DeLuca, Todd F. Jung, Jae-Yoon Wall, Dennis P. |
author_sort | Cui, Jike |
collection | PubMed |
description | SUMMARY: We developed a package TripletSearch to compute relationships within triplets of genes based on Roundup, an orthologous gene database containing >1500 genomes. These relationships, derived from the coevolution of genes, provide valuable information in the detection of biological network organization from the local to the system level, in the inference of protein functions and in the identification of functional orthologs. To run the computation, users need to provide the GI IDs of the genes of interest. Availability: http://wall.hms.harvard.edu/sites/default/files/tripletSearch.tar.gz Contact: dpwall@hms.harvard.edu Supplementary Information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-3187654 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-31876542011-10-05 Detecting biological network organization and functional gene orthologs Cui, Jike DeLuca, Todd F. Jung, Jae-Yoon Wall, Dennis P. Bioinformatics Applications Note SUMMARY: We developed a package TripletSearch to compute relationships within triplets of genes based on Roundup, an orthologous gene database containing >1500 genomes. These relationships, derived from the coevolution of genes, provide valuable information in the detection of biological network organization from the local to the system level, in the inference of protein functions and in the identification of functional orthologs. To run the computation, users need to provide the GI IDs of the genes of interest. Availability: http://wall.hms.harvard.edu/sites/default/files/tripletSearch.tar.gz Contact: dpwall@hms.harvard.edu Supplementary Information: Supplementary data are available at Bioinformatics online. Oxford University Press 2011-10-15 2011-08-19 /pmc/articles/PMC3187654/ /pubmed/21856738 http://dx.doi.org/10.1093/bioinformatics/btr485 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 Cui, Jike DeLuca, Todd F. Jung, Jae-Yoon Wall, Dennis P. Detecting biological network organization and functional gene orthologs |
title | Detecting biological network organization and functional gene orthologs |
title_full | Detecting biological network organization and functional gene orthologs |
title_fullStr | Detecting biological network organization and functional gene orthologs |
title_full_unstemmed | Detecting biological network organization and functional gene orthologs |
title_short | Detecting biological network organization and functional gene orthologs |
title_sort | detecting biological network organization and functional gene orthologs |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3187654/ https://www.ncbi.nlm.nih.gov/pubmed/21856738 http://dx.doi.org/10.1093/bioinformatics/btr485 |
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