作者：Kirilenko, Bogdan M.; Munegowda, Chetan; Osipova, Ekaterina; Jebb, David; Sharma, Virag; Blumer, Moritz; Morales, Ariadna E.; Ahmed, Alexis-Walid; Kontopoulos, Dimitrios-Georgios; Hilgers, Leon; Lindblad-Toh, Kerstin; Karlsson, Elinor K.; Hiller, Michael
作者单位：Max Planck Society; Max Planck Society; Leibniz Association; Senckenberg Gesellschaft fur Naturforschung (SGN); Goethe University Frankfurt; Uppsala University; Harvard University; Massachusetts Institute of Technology (MIT); Broad Institute; University of Massachusetts System; University of Massachusetts Worcester; UMass Chan Medical School; University of Massachusetts System; University of Massachusetts Worcester; UMass Chan Medical School; University of Limerick
摘要：Annotating coding genes and inferring orthologs are two classical challenges in genomics and evolutionary biology that have traditionally been approached separately, limiting scalability. We present TOGA (Tool to infer Orthologs from Genome Alignments), a method that integrates structural gene annotation and orthology inference. TOGA implements a different paradigm to infer orthologous loci, improves ortholog detection and annotation of conserved genes compared with state-of-the-art methods, a...
