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On the consistency of orthology relationships.

Authors :
Jones, Mark
Paul, Christophe
Scornavacca, Céline
Source :
BMC Bioinformatics. 2016 Suppl 14, Vol. 17, p251-262. 12p. 6 Diagrams, 1 Chart, 1 Graph.
Publication Year :
2016

Abstract

Background: Orthologs inference is the starting point of most comparative genomics studies and a plethora of methods have been designed in the last decade to address this challenging task. In this paper we focus on the problems of deciding consistency with a species tree (known or not) of a partial set of orthology/paralogy relationships C on a collection of n genes. Results: We give the first polynomial algorithm-more precisely a O(n3) time algorithm-to decide whether C is consistent, even when the species tree is unknown. We also investigate a biologically meaningful optimization version of these problems, in which we wish to minimize the number of duplication events; unfortunately, we show that all these optimization problems are NP-hard and are unlikely to have good polynomial time approximation algorithms. Conclusions: Our polynomial algorithm for checking consistency has been implemented in Python and is available. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14712105
Volume :
17
Database :
Academic Search Index
Journal :
BMC Bioinformatics
Publication Type :
Academic Journal
Accession number :
127994128
Full Text :
https://doi.org/10.1186/s12859-016-1267-3