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直系同源物搜索基准服务的新进展。

New developments for the Quest for Orthologs benchmark service.

作者信息

Altenhoff Adrian, Nevers Yannis, Tran Vinh, Jyothi Dushyanth, Martin Maria, Cosentino Salvatore, Majidian Sina, Marcet-Houben Marina, Fuentes-Palacios Diego, Persson Emma, Walsh Thomas, Lecompte Odile, Gabaldón Toni, Kelly Steven, Hu Yanhui, Iwasaki Wataru, Capella-Gutierrez Salvador, Dessimoz Christophe, Thomas Paul D, Ebersberger Ingo, Sonnhammer Erik

机构信息

ETH Zurich, Department of Computer Science,Universitätstrasse 19, 8092 Zurich, Switzerland.

SIB Swiss Institute of Bioinformatics, Quartier Sorge - Bâtiment Amphipôle, 1015 Lausanne, Switzerland.

出版信息

NAR Genom Bioinform. 2024 Dec 11;6(4):lqae167. doi: 10.1093/nargab/lqae167. eCollection 2024 Dec.

Abstract

The Quest for Orthologs (QfO) orthology benchmark service (https://orthology.benchmarkservice.org) hosts a wide range of standardized benchmarks for orthology inference evaluation. It is supported and maintained by the QfO consortium, and is used to gather ortholog predictions and to examine strengths and weaknesses of newly developed and existing orthology inference methods. The web server allows different inference methods to be compared in a standardized way using the same proteome data. The benchmark results are useful for developing new methods and can help researchers to guide their choice of orthology method for applications in comparative genomics and phylogenetic analysis. We here present a new release of the Orthology Benchmark Service with a new benchmark based on feature architecture similarity as well as updated reference proteomes. We further provide a meta-analysis of the public predictions from 18 different orthology assignment methods to reveal how they relate in terms of ortholog predictions and benchmark performance. These results can guide users of orthologs to the best suited method for their purpose.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f2c/11632614/fdd39868902f/lqae167figgra1.jpg

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