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Statistical inference of sequence-dependent mutation rates
1Laboratory of Computational Genomics, The Rockefeller University, 1230 York Avenue, New York, New York 10021, USA. mihaela@genomes.rockefeller.edu
Current Opinion in Genetics & Development
|October 30, 2001
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.