The Quest for Orthologs orthology benchmark service in 2022
Author(s) -
Yannis Nevers,
Tamsin E. M. Jones,
Dushyanth Jyothi,
Bethan Yates,
Meritxell Ferret,
Laura Portell-Silva,
Laia Codó,
Salvatore Cosentino,
Marina MarcetHouben,
Anna Vlasova,
Laetitia Poidevin,
Arnaud Kress,
Mark Hickman,
Emma Persson,
Ivana Piližota,
Cristina Guijarro-Clarke,
Adrian Altenhoff,
Elspeth A Bruford,
Christophe Dessimoz,
Ingo Ebersberger,
David Emms,
Toni Gabaldón,
Natasha Glover,
Yanhui Hu,
Wataru Iwasaki,
Tamsin E M Jones,
Odile Lecompte,
Benjamin Linard,
María Martin,
David S. Roos,
Erik Sonhammer,
Paul D. Thomas,
David Thybert,
Klaas Vandepoele,
Salvador Capella-Gutiérrez,
Asier GonzalezUriarte,
Javier Garrayo-Ventas,
Dmitry Repchevsky,
Vicky Sundesha,
Erik L. L. Sonnhammer,
Elspeth A. Bruford
Publication year - 2022
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkac330
Subject(s) - biology , benchmark (surveying) , resource (disambiguation) , computational biology , inference , service (business) , genomics , genome , gene , genetics , computer science , artificial intelligence , computer network , economy , geodesy , economics , geography
The Orthology Benchmark Service (https://orthology.benchmarkservice.org) is the gold standard for orthology inference evaluation, supported and maintained by the Quest for Orthologs consortium. It is an essential resource to compare existing and new methods of orthology inference (the bedrock for many comparative genomics and phylogenetic analysis) over a standard dataset and through common procedures. The Quest for Orthologs Consortium is dedicated to maintaining the resource up to date, through regular updates of the Reference Proteomes and increasingly accessible data through the OpenEBench platform. For this update, we have added a new benchmark based on curated orthology assertion from the Vertebrate Gene Nomenclature Committee, and provided an example meta-analysis of the public predictions present on the platform.
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