Biological Sequence Analysis: Probabilistic Models of by Richard Durbin,Sean R. Eddy,Anders Krogh,Graeme Mitchison

By Richard Durbin,Sean R. Eddy,Anders Krogh,Graeme Mitchison

Probabilistic types have gotten more and more vital in analysing the massive quantity of knowledge being produced by way of large-scale DNA-sequencing efforts resembling the Human Genome venture. for instance, hidden Markov types are used for analysing organic sequences, linguistic-grammar-based probabilistic versions for choosing RNA secondary constitution, and probabilistic evolutionary versions for inferring phylogenies of sequences from various organisms. This booklet offers a unified, updated and self-contained account, with a Bayesian slant, of such equipment, and extra typically to probabilistic equipment of series research. Written through an interdisciplinary workforce of authors, it goals to be obtainable to molecular biologists, desktop scientists, and mathematicians with out formal wisdom of the opposite fields, and even as current the state of the art during this new and hugely vital field.

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