Inferring hierarchical orthologous groups from orthologous gene pairs.

Détails

ID Serval
serval:BIB_DEA8020C3933
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Inferring hierarchical orthologous groups from orthologous gene pairs.
Périodique
PloS one
Auteur⸱e⸱s
Altenhoff A.M., Gil M., Gonnet G.H., Dessimoz C.
ISSN
1932-6203 (Electronic)
ISSN-L
1932-6203
Statut éditorial
Publié
Date de publication
2013
Peer-reviewed
Oui
Volume
8
Numéro
1
Pages
e53786
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
Hierarchical orthologous groups are defined as sets of genes that have descended from a single common ancestor within a taxonomic range of interest. Identifying such groups is useful in a wide range of contexts, including inference of gene function, study of gene evolution dynamics and comparative genomics. Hierarchical orthologous groups can be derived from reconciled gene/species trees but, this being a computationally costly procedure, many phylogenomic databases work on the basis of pairwise gene comparisons instead ("graph-based" approach). To our knowledge, there is only one published algorithm for graph-based hierarchical group inference, but both its theoretical justification and performance in practice are as of yet largely uncharacterised. We establish a formal correspondence between the orthology graph and hierarchical orthologous groups. Based on that, we devise GETHOGs ("Graph-based Efficient Technique for Hierarchical Orthologous Groups"), a novel algorithm to infer hierarchical groups directly from the orthology graph, thus without needing gene tree inference nor gene/species tree reconciliation. GETHOGs is shown to correctly reconstruct hierarchical orthologous groups when applied to perfect input, and several extensions with stringency parameters are provided to deal with imperfect input data. We demonstrate its competitiveness using both simulated and empirical data. GETHOGs is implemented as a part of the freely-available OMA standalone package (http://omabrowser.org/standalone). Furthermore, hierarchical groups inferred by GETHOGs ("OMA HOGs") on >1,000 genomes can be interactively queried via the OMA browser (http://omabrowser.org).
Mots-clé
Algorithms, Databases, Genetic, Genomics/methods, Phylogeny, Sequence Homology, Nucleic Acid
Pubmed
Web of science
Open Access
Oui
Création de la notice
02/09/2015 8:16
Dernière modification de la notice
06/03/2024 10:32
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