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

Probabilistic types have gotten more and more vital in analysing the large volume of information being produced by means of large-scale DNA-sequencing efforts reminiscent of the Human Genome undertaking. for instance, hidden Markov versions are used for analysing organic sequences, linguistic-grammar-based probabilistic versions for determining RNA secondary constitution, and probabilistic evolutionary versions for inferring phylogenies of sequences from diversified organisms. This ebook supplies a unified, up to date and self-contained account, with a Bayesian slant, of such tools, and extra regularly to probabilistic tools of series research. Written by means of an interdisciplinary group of authors, it goals to be obtainable to molecular biologists, laptop scientists, and mathematicians with out formal wisdom of the opposite fields, and whilst current the state of the art during this new and hugely very important field.

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


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