title: GOTax: investigating biological processes and biochemical activities along the taxonomic tree.
abstract: We describe GOTax, a comparative genomics platform that integrates protein annotation with protein family classification and taxonomy. User-defined sets of proteins, protein families, annotation terms or taxonomic groups can be selected and compared, allowing for the analysis of distribution of biological processes and molecular activities over different taxonomic groups. In particular, a measure of functional similarity is available for comparing proteins and protein families, establishing functional relationships independent of evolution.
authors.affiliation: Department of Computational Biology and Applied Algorithmics, Max-Planck-Institute for Informatics, Saarbrücken, Germany. schlandi@mpi-inf.mpg.de
authors.forename: Andreas
authors.initials: A
authors.lastname: Schlicker
authors.forename: Jörg
authors.initials: J
authors.lastname: Rahnenführer
authors.forename: Mario
authors.initials: M
authors.lastname: Albrecht
authors.forename: Thomas
authors.initials: T
authors.lastname: Lengauer
authors.forename: Francisco S
authors.initials: FS
authors.lastname: Domingues
mesh_terms: D002965:Classification; D030561:Databases, Nucleic Acid; D023281:Genomics; D016247:Information Storage and Retrieval; D010802:Phylogeny; D040901:Proteomics / Q000379:methods*; D012984:Software; D014584:User-Computer Interface