OMA, A Comprehensive, Automated Project for the Identification of Orthologs from Complete Genome Data: Introduction and First Achievements

81 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

OMA standalone: orthology inference among public and custom genomes and transcriptomes (2018, methodology): “The algorithms underlying the OMA pipeline have been described and validated in multiple publications (Altenhoff et al., 2013; Dessimoz et al., 2006, 2005; Roth et al., 2008; Train et al., 2017) .”
EDGAR: A software framework for the comparative analysis of prokaryotic genomes (2009, background): “Various more sophisticated orthology identification approaches have been developed in the past, e.g. Clusters of Orthologous Genes (COG), InParanoid, OrthoMCL, Ensembl Compara, Homolo-gene, RoundUp, EggNOG, or OMA [17-24].”
OMA 2011: orthology inference among 1000 complete genomes (2010, methodology): “Since 2004, we have been developing the orthology database OMA (Orthologous MAtrix), with the goal of analyzing all genomes that are publicly available (16).”
Phylogenetic and Functional Assessment of Orthologs Inference Projects and Methods (2009, methodology): “In the present article, we provide an in-depth comparison of the prediction from 11 major projects, including OMA [4], our own orthology inference effort.”