title: Detecting biological network organization and functional gene orthologs.
abstract: CONCLUSIONS
  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.
  
  
  BACKGROUND
  http://wall.hms.harvard.edu/sites/default/files/tripletSearch.tar.gz
  
  
  BACKGROUND
  dpwall@hms.harvard.edu
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: The Center for Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA.
authors.forename: Jike
authors.initials: J
authors.lastname: Cui
authors.forename: Todd F
authors.initials: TF
authors.lastname: DeLuca
authors.forename: Jae-Yoon
authors.initials: JY
authors.lastname: Jung
authors.forename: Dennis P
authors.initials: DP
authors.lastname: Wall
mesh_terms: D030541:Databases, Genetic; D019143:Evolution, Molecular; D005798:Genes, Bacterial; D016680:Genome, Bacterial; D023281:Genomics / Q000379:methods; D008954:Models, Biological; D010802:Phylogeny; D011506:Proteins / Q000235:genetics / Q000502:physiology; D012984:Software
chemical_list: D011506:Proteins