Toward community standards in the quest for orthologs.

Bioinformatics
Christophe DessimozQuest for Orthologs Consortium

Abstract

The identification of orthologs-genes pairs descended from a common ancestor through speciation, rather than duplication-has emerged as an essential component of many bioinformatics applications, ranging from the annotation of new genomes to experimental target prioritization. Yet, the development and application of orthology inference methods is hampered by the lack of consensus on source proteomes, file formats and benchmarks. The second 'Quest for Orthologs' meeting brought together stakeholders from various communities to address these challenges. We report on achievements and outcomes of this meeting, focusing on topics of particular relevance to the research community at large. The Quest for Orthologs consortium is an open community that welcomes contributions from all researchers interested in orthology research and applications.

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Citations

Nov 15, 2012·Journal of Medical Systems·María del Carmen Legaz-GarcíaJesualdo Tomás Fernández-Breis
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Apr 29, 2020·Nucleic Acids Research·Uciel ChorosteckiToni Gabaldón
May 7, 2020·Nucleic Acids Research·Adrian M AltenhoffChristophe Dessimoz
Jul 29, 2017·Frontiers in Plant Science·Pedro de Los ReyesFederico Valverde
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Oct 30, 2019·BMC Bioinformatics·Emma PerssonErik L L Sonnhammer
Jun 27, 2019·Molecular Biology and Evolution·Natasha GloverPaul D Thomas

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Software Mentioned

Quest
MetaPhOrs
RAxML
Quest for Orthologs
OrthoXML
Fasta
SeqXML
PHASE

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