Literature DB >> 18566770

Inferring trees.

Simon Whelan1.   

Abstract

Molecular phylogenetics examines how biological sequences evolve and the historical relationships between them. An important aspect of many such studies is the estimation of a phylogenetic tree, which explicitly describes evolutionary relationships between the sequences. This chapter provides an introduction to evolutionary trees and some commonly used inferential methodology, focusing on the assumptions made and how they affect an analysis. Detailed discussion is also provided about some common algorithms used for phylogenetic tree estimation. Finally, there are a few practical guidelines, including how to combine multiple software packages to improve inference, and a comparison between Bayesian and maximum likelihood phylogenetics.

Mesh:

Year:  2008        PMID: 18566770     DOI: 10.1007/978-1-60327-159-2_14

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  6 in total

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3.  Evaluating gene expression dynamics using pairwise RNA FISH data.

Authors:  Matthieu Wyart; David Botstein; Ned S Wingreen
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4.  GIGA: a simple, efficient algorithm for gene tree inference in the genomic age.

Authors:  Paul D Thomas
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Review 5.  Informatics approaches to understanding TGFbeta pathway regulation.

Authors:  Pascal Kahlem; Stuart J Newfeld
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6.  Comprehensive analysis of DNA polymerase III α subunits and their homologs in bacterial genomes.

Authors:  Kestutis Timinskas; Monika Balvočiūtė; Albertas Timinskas; Česlovas Venclovas
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  6 in total

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