iGTP: A software package for large-scale gene tree parsimony analysis |
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Authors: | Ruchi Chaudhary Mukul S Bansal André Wehe David Fernández-Baca Oliver Eulenstein |
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Institution: | 1.Department of Computer Science,Iowa State University,Ames,USA;2.The Blavatnik School of Computer Science,Tel Aviv University,Tel Aviv,Israel;3.Department of Electrical and Computer Engineering,Iowa State University,Ames,USA |
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Abstract: | 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. |
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