Title
Cophylogenetic Reconciliation with ILP
Abstract
In this paper we present an integer linear programming (ILP) approach, called CoRe-ILP, for finding an optimal time consistent cophylogenetic host-parasite reconciliation under the cophylogenetic event model with the events cospeciation, duplication, sorting, host switch, and failure to diverge. Instead of assuming event costs, a simplified model is used, maximizing primarily for cospeciations and secondarily minimizing host switching events. Duplications, sortings, and failure to diverge events are not explicitly scored. Different from existing event based reconciliation methods, CoRe-ILP can use (approximate) phylogenetic branch lengths for filtering possible ancestral host-parasite interactions. Experimentally, it is shown that CoRe-ILP can successfully use branch length information and performs well for biological and simulated data sets. The results of CoRe-ILP are compared with the results of the reconciliation tools Jane 4, Treemap 3b, NOTUNG 2.8 Beta, and Ranger-DTL. Algorithm CoRe-ILP is implemented using IBM ILOG CPLEXTM Optimizer 12.6 and is freely available from http://pacosy.informatik.uni-leipzig.de/core-ilp.
Year
DOI
Venue
2015
10.1109/TCBB.2015.2430336
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Keywords
Field
DocType
cophylogeny,branch length,cospeciation,host switch,host-parasite coevolution,integer linear programming,tree reconciliation
Cospeciation,Data set,Event model,Computer science,Theoretical computer science,Integer programming,Artificial intelligence,Algorithm,Filter (signal processing),Sorting,Bioinformatics,Machine learning,Host switch
Journal
Volume
Issue
ISSN
PP
99
1545-5963
Citations 
PageRank 
References 
1
0.35
7
Authors
4
Name
Order
Citations
PageRank
Nicolas Wieseke11149.34
Hartmann, T.231.75
Matthias Bernt37711.06
Martin Middendorf41334161.45