Your browser doesn't support javascript.
loading
The Quest for Orthologs benchmark service and consensus calls in 2020.
Altenhoff, Adrian M; Garrayo-Ventas, Javier; Cosentino, Salvatore; Emms, David; Glover, Natasha M; Hernández-Plaza, Ana; Nevers, Yannis; Sundesha, Vicky; Szklarczyk, Damian; Fernández, José M; Codó, Laia; For Orthologs Consortium, The Quest; Gelpi, Josep Ll; Huerta-Cepas, Jaime; Iwasaki, Wataru; Kelly, Steven; Lecompte, Odile; Muffato, Matthieu; Martin, Maria J; Capella-Gutierrez, Salvador; Thomas, Paul D; Sonnhammer, Erik; Dessimoz, Christophe.
Afiliação
  • Altenhoff AM; SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Garrayo-Ventas J; ETH Zurich, Department of Computer Science, Zurich, Switzerland.
  • Cosentino S; Life Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona, Spain.
  • Emms D; Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
  • Glover NM; Department of Plant Sciences, University of Oxford, South Parks Road, Oxford, UK.
  • Hernández-Plaza A; SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Nevers Y; Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.
  • Sundesha V; Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
  • Szklarczyk D; Centro de Biotecnologia y Genomica de Plantas, Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Campus de Montegancedo-UPM, 28223, Pozuelo de Alarcón, Madrid, Spain.
  • Fernández JM; SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Codó L; Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.
  • For Orthologs Consortium TQ; Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
  • Gelpi JL; Department of Computer Science, ICube, UMR 7357, University of Strasbourg, CNRS, Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France.
  • Huerta-Cepas J; Life Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona, Spain.
  • Iwasaki W; SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Kelly S; Institute of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, Zurich, 8057, Switzerland.
  • Lecompte O; Life Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona, Spain.
  • Muffato M; Life Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona, Spain.
  • Capella-Gutierrez S; Life Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona, Spain.
  • Thomas PD; Department of Biochemistry and Molecular Biomedicine. University of Barcelona. Barcelona, Spain.
  • Sonnhammer E; Centro de Biotecnologia y Genomica de Plantas, Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Campus de Montegancedo-UPM, 28223, Pozuelo de Alarcón, Madrid, Spain.
  • Dessimoz C; Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Nucleic Acids Res ; 48(W1): W538-W545, 2020 07 02.
Article em En | MEDLINE | ID: mdl-32374845
ABSTRACT
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Família Multigênica / Proteoma Tipo de estudo: Guideline Limite: Animals / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Família Multigênica / Proteoma Tipo de estudo: Guideline Limite: Animals / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article