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Numerical methods for inferring phylogenies
Author(s) -
Albrecht Felipe,
Borges Nelson
Publication year - 2007
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.200700391
Subject(s) - construct (python library) , class (philosophy) , computer science , evolutionary biology , theoretical computer science , algorithm , biology , artificial intelligence , programming language
Molecular phylogenies describe the study of evolution relationships between living beings, protein and genetic sequences and other molecular taxons. In recent years there has been increased interest in producing large and accurate phylogenies trees using some numerical computational methods approach. One class of molecular phylogenies is the distance matrices method, with the matrix whose entries represent the distinctions between the taxons under study. To construct large and accurate trees for a large number of taxons, the computational processing increases and parallel computing can be helpful. So far we have tested some methods to solve the linear systems, being driven to important conclusions, like which is the best tested method, and having also reached some questions about communication. (© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)