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Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids

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




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 | #203142 in eBooks |  1998-04-23 |  1998-04-23 | File type: PDF

||2 of 2 people found the following review helpful.| a defining text for bioinformatics|By Ridahoan|This is an old book now, and I don't know if its been supplanted, but when published it was by far the best book in its field. I think it still has much to offer. No, it's not an easy read for those of us coming from a biological background, but it is accessible, thorough, and self-contained, and a much gentler read than what one

Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified...

You easily download any file type for your device.Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids   |  Richard Durbin, Sean R. Eddy, Anders Krogh, Graeme Mitchison. Which are the reasons I like to read books. Great story by a great author.

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