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BOG: R-package for Bacterium and virus analysis of Orthologous Groups

BOG (Bacterium and virus analysis of Orthologous Groups) is a package for identifying groups of differentially regulated genes in the light of gene functions for various virus and bacteria genomes. It is designed to identify Clusters of Orthologous Groups (COGs) that are enriched among genes that ha...

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Detalles Bibliográficos
Autores principales: Park, Jincheol, Taslim, Cenny, Lin, Shili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4475783/
https://www.ncbi.nlm.nih.gov/pubmed/26106460
http://dx.doi.org/10.1016/j.csbj.2015.05.002
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author Park, Jincheol
Taslim, Cenny
Lin, Shili
author_facet Park, Jincheol
Taslim, Cenny
Lin, Shili
author_sort Park, Jincheol
collection PubMed
description BOG (Bacterium and virus analysis of Orthologous Groups) is a package for identifying groups of differentially regulated genes in the light of gene functions for various virus and bacteria genomes. It is designed to identify Clusters of Orthologous Groups (COGs) that are enriched among genes that have gone through significant changes under different conditions. This would contribute to the detection of pathogens, an important scientific research area of relevance in uncovering bioterrorism, among others. Particular statistical analyses include hypergeometric, Mann–Whitney rank sum, and gene set enrichment. Results from the analyses are organized and presented in tabular and graphical forms for ease of understanding and dissemination of results. BOG is implemented as an R-package, which is available from CRAN or can be downloaded from http://www.stat.osu.edu/~statgen/SOFTWARE/BOG/.
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spelling pubmed-44757832015-06-23 BOG: R-package for Bacterium and virus analysis of Orthologous Groups Park, Jincheol Taslim, Cenny Lin, Shili Comput Struct Biotechnol J Article BOG (Bacterium and virus analysis of Orthologous Groups) is a package for identifying groups of differentially regulated genes in the light of gene functions for various virus and bacteria genomes. It is designed to identify Clusters of Orthologous Groups (COGs) that are enriched among genes that have gone through significant changes under different conditions. This would contribute to the detection of pathogens, an important scientific research area of relevance in uncovering bioterrorism, among others. Particular statistical analyses include hypergeometric, Mann–Whitney rank sum, and gene set enrichment. Results from the analyses are organized and presented in tabular and graphical forms for ease of understanding and dissemination of results. BOG is implemented as an R-package, which is available from CRAN or can be downloaded from http://www.stat.osu.edu/~statgen/SOFTWARE/BOG/. Research Network of Computational and Structural Biotechnology 2015-05-21 /pmc/articles/PMC4475783/ /pubmed/26106460 http://dx.doi.org/10.1016/j.csbj.2015.05.002 Text en © 2015 Park et al. Published by Elsevier B.V. on behalf of the Research Network of Computational and Structural Biotechnology. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Park, Jincheol
Taslim, Cenny
Lin, Shili
BOG: R-package for Bacterium and virus analysis of Orthologous Groups
title BOG: R-package for Bacterium and virus analysis of Orthologous Groups
title_full BOG: R-package for Bacterium and virus analysis of Orthologous Groups
title_fullStr BOG: R-package for Bacterium and virus analysis of Orthologous Groups
title_full_unstemmed BOG: R-package for Bacterium and virus analysis of Orthologous Groups
title_short BOG: R-package for Bacterium and virus analysis of Orthologous Groups
title_sort bog: r-package for bacterium and virus analysis of orthologous groups
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4475783/
https://www.ncbi.nlm.nih.gov/pubmed/26106460
http://dx.doi.org/10.1016/j.csbj.2015.05.002
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