Document Detail

Bayesian estimation of genomic distance.
MedLine Citation:
PMID:  15020449     Owner:  NLM     Status:  MEDLINE    
We present a Bayesian approach to the problem of inferring the number of inversions and translocations separating two species. The main reason for developing this method is that it will allow us to test hypotheses about the underlying mechanisms, such as the distribution of inversion track lengths or rate constancy among lineages. Here, we apply these methods to comparative maps of eggplant and tomato, human and cat, and human and cattle with 170, 269, and 422 markers, respectively. In the first case the most likely number of events is larger than the parsimony value. In the last two cases the parsimony solutions have very small probability.
Richard Durrett; Rasmus Nielsen; Thomas L York
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Genetics     Volume:  166     ISSN:  0016-6731     ISO Abbreviation:  Genetics     Publication Date:  2004 Jan 
Date Detail:
Created Date:  2004-03-15     Completed Date:  2004-10-26     Revised Date:  2009-11-19    
Medline Journal Info:
Nlm Unique ID:  0374636     Medline TA:  Genetics     Country:  United States    
Other Details:
Languages:  eng     Pagination:  621-9     Citation Subset:  IM    
Department of Mathematics, Cornell University, Ithaca, New York 14853, USA.
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MeSH Terms
Bayes Theorem
Chromosome Inversion
Genomics / statistics & numerical data*
Lycopersicon esculentum / genetics
Models, Genetic
Solanum melongena / genetics
Species Specificity
Translocation, Genetic

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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