Title
EREM: Parameter Estimation and Ancestral Reconstruction by Expectation-Maximization Algorithm for a Probabilistic Model of Genomic Binary Characters Evolution.
Abstract
Evolutionary binary characters are features of species or genes, indicating the absence (value zero) or presence (value one) of some property. Examples include eukaryotic gene architecture (the presence or absence of an intron in a particular locus), gene content, and morphological characters. In many studies, the acquisition of such binary characters is assumed to represent a rare evolutionary event, and consequently, their evolution is analyzed using various flavors of parsimony. However, when gain and loss of the character are not rare enough, a probabilistic analysis becomes essential. Here, we present a comprehensive probabilistic model to describe the evolution of binary characters on a bifurcating phylogenetic tree. A fast software tool, EREM, is provided, using maximum likelihood to estimate the parameters of the model and to reconstruct ancestral states (presence and absence in internal nodes) and events (gain and loss events along branches).
Year
DOI
Venue
2010
10.1155/2010/167408
Adv. Bioinformatics
Keywords
Field
DocType
bioinformatics,probabilistic model,biomedical research,parameter estimation,expectation maximization algorithm
Phylogenetic tree,Expectation–maximization algorithm,Computer science,Ancestral reconstruction,Probabilistic analysis of algorithms,Statistical model,Bioinformatics,Estimation theory,Locus (genetics),Binary number
Journal
Volume
ISSN
Citations 
2010
1687-8035
1
PageRank 
References 
Authors
0.37
1
4
Name
Order
Citations
PageRank
Liran Carmel111917.99
Yuri I. Wolf254076.15
Igor B. Rogozin36110.39
Eugene V. Koonin4986239.69