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Curr Opin Genet Dev. 2001 Dec;11(6):612-5.

Statistical inference of sequence-dependent mutation rates.

Author information

1
Laboratory of Computational Genomics, The Rockefeller University, 1230 York Avenue, New York, New York 10021, USA. mihaela@genomes.rockefeller.edu

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.

PMID:
11682302
[Indexed for MEDLINE]

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