Orthologous Matrix (OMA) algorithm 2.0: more robust to asymmetric evolutionary rates and more scalable hierarchical orthologous group inference

MOTIVATION: Accurate orthology inference is a fundamental step in many phylogenetics and comparative analysis. Many methods have been proposed, including OMA (Orthologous MAtrix). Yet substantial challenges remain, in particular in coping with fragmented genes or genes evolving at different rates af...

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Bibliografiske detaljer
Udgivet i:Bioinformatics
Main Authors: Train, Clément-Marie, Glover, Natasha M, Gonnet, Gaston H, Altenhoff, Adrian M, Dessimoz, Christophe
Format: Artigo
Sprog:Inglês
Udgivet: Oxford University Press 2017
Fag:
Ismb/Eccb 2017: The 25th Annual Conference Intelligent Systems for Molecular Biology Held Jointly with the 16th Annual European Conference on Computational Biology, Prague, Czech Republic, July 21–25, 2017
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5870696/
https://ncbi.nlm.nih.gov/pubmed/28881964
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx229
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