4.8 Article

The Quest for Orthologs benchmark service and consensus calls in 2020

期刊

NUCLEIC ACIDS RESEARCH
卷 48, 期 W1, 页码 W538-W545

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkaa308

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资金

  1. Service and Infrastructure grant from the Swiss Institute of Bioinformatics
  2. NSF [1917302]
  3. NIH NHGRI [HG002273, HG010859]
  4. H2020 ELIXIR-EXCELERATE [676559]
  5. INB [PT17/0009/0001 -ISCIII-SGEFI/ERDF]
  6. ELIXIR, the research infrastructure for lifescience data
  7. Ministerio de Ciencia, Innovacion y Universidades [PGC2018-098073-A-I00]
  8. European Union's Horizon 2020 Research and Innovation Programme [686070, 637765]
  9. Consejeria de Educacion, Juventud y Deporte de la Comunidad de Madrid
  10. Fondo Social Europeo [PEJ-2017-AI/TIC-7514]
  11. IdEX Unistra in the framework of the Investments for the future program of the French government
  12. National Institutes of Health (NIH) [U24HG007822]
  13. European Molecular Biology Laboratory (EMBL)
  14. Wellcome Trust [WT108749/Z/15/Z]
  15. Swiss National Science Foundation [183723]
  16. European Research Council (ERC) [637765] Funding Source: European Research Council (ERC)
  17. Div Of Biological Infrastructure
  18. Direct For Biological Sciences [1917302] Funding Source: National Science Foundation

向作者/读者索取更多资源

The identification of orthologs-genes in different species which descended from the same gene in their last common ancestor-is a prerequisite for many analyses in comparative genomics and molecular evolution. Numerous algorithms and resources have been conceived to address this problem, but benchmarking and interpreting them is fraught with difficulties (need to compare them on a common input dataset, absence of ground truth, computational cost of calling orthologs). To address this, the Quest for Orthologs consortium maintains a reference set of proteomes and provides a web server for continuous orthology benchmarking (http://orthology.benchmarkservice.org). Furthermore, consensus ortholog calls derived from public benchmark submissions are provided on the Alliance of Genome Resources website, the joint portal of NIH-funded model organism databases.

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