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

Jincheol Park; Cenny Taslim; Shili Lin

doi:10.1016/j.csbj.2015.05.002

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

Comput Struct Biotechnol J. 2015 May 21:13:366-9. doi: 10.1016/j.csbj.2015.05.002. eCollection 2015.

Authors

Jincheol Park¹, Cenny Taslim², Shili Lin³

Affiliations

¹ Department of Statistics, Keimyung University, South Korea.
² Ohio State University Medical Center, USA.
³ Department of Statistics, State University, USA.

Abstract

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/.

Keywords: Bacterium and virus analysis; Clusters of Orthologous Groups; Gene set enrichment analysis; Hypergeometric test; Mann–Whitney Rank Sum test; Tabular and graphical visualization.