Orthology Clusters from Gene Trees withPossvm
Author(s) -
Xavier GrauBové,
Arnau Sebé-Pedrós
Publication year - 2021
Publication title -
molecular biology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.637
H-Index - 218
eISSN - 1537-1719
pISSN - 0737-4038
DOI - 10.1093/molbev/msab234
Subject(s) - biology , phylogenetic tree , annotation , gene , phylogenetics , tree (set theory) , cluster analysis , computational biology , genomics , genome , gene annotation , synteny , phylogenetic network , gene prediction , benchmarking , evolutionary biology , genetics , artificial intelligence , computer science , mathematical analysis , mathematics , marketing , business
Possvm (Phylogenetic Ortholog Sorting with Species oVerlap and MCL [Markov clustering algorithm]) is a tool that automates the process of identifying clusters of orthologous genes from precomputed phylogenetic trees and classifying gene families. It identifies orthology relationships between genes using the species overlap algorithm to infer taxonomic information from the gene tree topology, and then uses the MCL to identify orthology clusters and provide annotated gene families. Our benchmarking shows that this approach, when provided with accurate phylogenies, is able to identify manually curated orthogroups with very high precision and recall. Overall, Possvm automates the routine process of gene tree inspection and annotation in a highly interpretable manner, and provides reusable outputs and phylogeny-aware gene annotations that can be used to inform comparative genomics and gene family evolution analyses.
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