iGTP: A software package for large-scale gene tree parsimony analysis

Background: The ever-increasing wealth of genomic sequence information provides an unprecedented opportunity for large-scale phylogenetic analysis. However, species phylogeny inference is obfuscated by incongruence among gene trees due to evolutionary events such as gene duplication and loss, incomplete lineage sorting (deep coalescence), and horizontal gene transfer. Gene tree parsimony (GTP) addresses this issue by seeking a species tree that requires the minimum number of evolutionary events to reconcile a given set of incongruent gene trees. Despite its promise, the use of gene tree parsimony has been limited by the fact that existing software is either not fast enough to tackle large data sets or is restricted in the range of evolutionary events it can handle. Results: We introduce iGTP, a platform-independent software program that implements state-of-the-art algorithms that greatly speed up species tree inference under the duplication, duplication-loss, and deep coalescence reco...

• Type: Journal
• Year: 2010
• Where: BMCBI
• Authors: Ruchi Chaudhary, Mukul S. Bansal, André Wehe, David Fernández-Baca, Oliver Eulenstein
• Keywords: BMCBI 2007, BMCBI 2010, Evolutionary Events, Gene Tree, Gene Tree Parsimony