title: DarkHorse: a method for genome-wide prediction of horizontal gene transfer.
abstract: A new approach to rapid, genome-wide identification and ranking of horizontal transfer candidate proteins is presented. The method is quantitative, reproducible, and computationally undemanding. It can be combined with genomic signature and/or phylogenetic tree-building procedures to improve accuracy and efficiency. The method is also useful for retrospective assessments of horizontal transfer prediction reliability, recognizing orthologous sequences that may have been previously overlooked or unavailable. These features are demonstrated in bacterial, archaeal, and eukaryotic examples.
authors.affiliation: Scripps Genome Center, Scripps Institution of Oceanography, University of California at San Diego, Gilman Drive, La Jolla, CA 92093-0202, USA. spodell@ucsd.edu
authors.forename: Sheila
authors.initials: S
authors.lastname: Podell
authors.forename: Terry
authors.initials: T
authors.lastname: Gaasterland
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D022761:Gene Transfer, Horizontal / Q000235:genetics*; D023281:Genomics / Q000379:methods*; D010802:Phylogeny; D011336:Probability; D012984:Software