A nucleotide substitution model with nearest-neighbour interactions
Author(s) -
Gerton Lunter,
Jotun Hein
Publication year - 2004
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bth901
Subject(s) - substitution (logic) , cpg site , nucleotide , inference , context (archaeology) , bayesian probability , computer science , algorithm , computational biology , biology , biological system , genetics , artificial intelligence , gene , dna methylation , paleontology , gene expression , programming language
It is well known that neighbouring nucleotides in DNA sequences do not mutate independently of each other. In this paper, we introduce a context-dependent substitution model and derive an algorithm to calculate the likelihood of sequences evolving under this model. We use this algorithm to estimate neighbour-dependent substitution rates, as well as rates for dinucleotide substitutions, using a Bayesian sampling procedure. The model is irreversible, giving an arrow to time, and allowing the position of the root between a pair of sequences to be inferred without using out-groups.
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