Please use this identifier to cite or link to this item:
https://lib.hpu.edu.vn/handle/123456789/22388
Title: | Implementing and testing Bayesian and maximum-likelihood supertree methods in phylogenetics |
Authors: | Akanni, Wasiu A. Wilkinson, Mark Creevey, Christopher J |
Keywords: | Biology Bioinformatics Computational biology Molecular biology Phylogeny Bayes Maximum likelihood Support |
Issue Date: | 2015 |
Abstract: | Since their advent, supertrees have been increasingly used in large-scale evolutionary studies requiring a phylogenetic framework and substantial efforts have been devoted to developing a wide variety of supertree methods (SMs). Recent advances in supertree theory have allowed the implementation of maximum likelihood (ML) and Bayesian SMs, based on using an exponential distribution to model incongruence between input trees and the supertree. Such approaches are expected to have advantages over commonly used non-parametric SMs, e.g. matrix representation with parsimony (MRP). |
URI: | https://lib.hpu.edu.vn/handle/123456789/22388 |
Appears in Collections: | Education |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
0375_ImplementingandtestingBayesian.pdf Restricted Access | 497.98 kB | Adobe PDF | ![]() View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.