Statistical Inference of Sequence-dependent Mutation Rates

Overview

Journal Curr Opin Genet Dev

Publisher Elsevier

Specialties Biology
Genetics

Date 2001 Oct 30

PMID 11682302

Citations 9

Authors

M Zavolan

T B Kepler

Affiliations

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Abstract

Several lines of research are now converging towards an integrated understanding of mutational mechanisms and their evolutionary implications. Experimentally, crystal structures reveal the effect of sequence context on polymerase fidelity; large-scale sequencing projects generate vast amounts of sequence polymorphism data; and locus-specific databases are being constructed. Computationally, software and analytical tools have been developed to analyze mutational data, to identify mutational hot spots, and to compare the signatures of mutagenic agents.

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