Benchmarking Orthogroup Inference Accuracy: Revisiting Orthobench
Author(s) -
David Emms,
Steven Kelly
Publication year - 2020
Publication title -
genome biology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.702
H-Index - 74
ISSN - 1759-6653
DOI - 10.1093/gbe/evaa211
Subject(s) - benchmarking , inference , benchmark (surveying) , suite , biology , computer science , range (aeronautics) , tree (set theory) , machine learning , artificial intelligence , data mining , mathematics , engineering , mathematical analysis , archaeology , marketing , aerospace engineering , business , history , geography , geodesy
Orthobench is the standard benchmark to assess the accuracy of orthogroup inference methods. It contains 70 expert-curated reference orthogroups (RefOGs) that span the Bilateria and cover a range of different challenges for orthogroup inference. Here, we leveraged improvements in tree inference algorithms and computational resources to reinterrogate these RefOGs and carry out an extensive phylogenetic delineation of their composition. This phylogenetic revision altered the membership of 31 of the 70 RefOGs, with 24 subject to extensive revision and 7 that required minor changes. We further used these revised and updated RefOGs to provide an assessment of the orthogroup inference accuracy of widely used orthogroup inference methods. Finally, we provide an open-source benchmarking suite to support the future development and use of the Orthobench benchmark.
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