Identifying orthologs with OMA: A primer [version 1; peer review: 2 approved]

• Main Authors: Monique Zahn-Zabal, Christophe Dessimoz, Natasha M. Glover
• Format: Article
• Language: English
• Published: F1000 Research Ltd 2020-01-01
• Series: F1000Research
• Online Access: https://f1000research.com/articles/9-27/v1

The Orthologous Matrix (OMA) is a method and database that allows users to identify orthologs among many genomes. OMA provides three different types of orthologs: pairwise orthologs, OMA Groups and Hierarchical Orthologous Groups (HOGs). This Primer is organized in two parts. In the first part, we provide all the necessary background information to understand the concepts of orthology, how we infer them and the different subtypes of orthology in OMA, as well as what types of analyses they should be used for. In the second part, we describe protocols for using the OMA browser to find a specific gene and its various types of orthologs. By the end of the Primer, readers should be able to (i) understand homology and the different types of orthologs reported in OMA, (ii) understand the best type of orthologs to use for a particular analysis; (iii) find particular genes of interest in the OMA browser; and (iv) identify orthologs for a given gene.  The data can be freely accessed from the OMA browser at https://omabrowser.org.