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EREM : Parameter Estimation and Ancestral Reconstruction by Expectation-Maximization Algorithm for a Probabilistic Model of Genomic Binary Characters Evolution
Joint Authors
Koonin, Eugene V.
Wolf, Yuri I.
Carmel, Liran
Rogozin, Igor B.
Source
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-4, 4 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-05-06
Country of Publication
Egypt
No. of Pages
4
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Biology
Abstract EN
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).
American Psychological Association (APA)
Carmel, Liran& Wolf, Yuri I.& Rogozin, Igor B.& Koonin, Eugene V.. 2010. EREM : Parameter Estimation and Ancestral Reconstruction by Expectation-Maximization Algorithm for a Probabilistic Model of Genomic Binary Characters Evolution. Advances in Bioinformatics،Vol. 2010, no. 2010, pp.1-4.
https://search.emarefa.net/detail/BIM-451221
Modern Language Association (MLA)
Carmel, Liran…[et al.]. EREM : Parameter Estimation and Ancestral Reconstruction by Expectation-Maximization Algorithm for a Probabilistic Model of Genomic Binary Characters Evolution. Advances in Bioinformatics No. 2010 (2010), pp.1-4.
https://search.emarefa.net/detail/BIM-451221
American Medical Association (AMA)
Carmel, Liran& Wolf, Yuri I.& Rogozin, Igor B.& Koonin, Eugene V.. EREM : Parameter Estimation and Ancestral Reconstruction by Expectation-Maximization Algorithm for a Probabilistic Model of Genomic Binary Characters Evolution. Advances in Bioinformatics. 2010. Vol. 2010, no. 2010, pp.1-4.
https://search.emarefa.net/detail/BIM-451221
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-451221