Pseudo-likelihood for Non-reversible Nucleotide Substitution Models with Neighbour Dependent Rates

Ole F. Christensen, Bioinformatics Research Center, Aarhus University, Denmark

Abstract

In the field of molecular evolution genome substitution models with neighbour dependent substitution rates have recently received much attention. It is well-known that substitution of nucleotides does not occur independently of neighbouring nucleotides, but there has been less focus on the phenomenon that this substitution process is also not time-reversible. In this paper I construct a pseudo-likelihood type method for inference in non-reversible substitution models with neighbour dependent substitution rates. I also construct an EM-algorithm for maximising the pseudo-likelihood. For human-mouse aligned sequence data a number of different models are investigated, where I show that strand-symmetric models are appropriate, and that overlapping di-nucleotide models do not fit the data well.

Submitted: March 28, 2006 · Accepted: June 27, 2006 · Published: July 31, 2006

Recommended Citation

Christensen, Ole F. (2006) "Pseudo-likelihood for Non-reversible Nucleotide Substitution Models with Neighbour Dependent Rates," Statistical Applications in Genetics and Molecular Biology: Vol. 5 : Iss. 1, Article 18.
Available at: http://www.bepress.com/sagmb/vol5/iss1/art18

 
 
 
 

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