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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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 | #545288 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| |"The book is amply illustrated with biological applications and examples." Cell

"...successfully integrates numerous probabilistic models with computational algorithms to solve molecular biology problems of sequence alignment...an excellent textb

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 can specify the type of files you want, for your device.Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids   |  Richard Durbin, Sean R. Eddy, Anders Krogh, Graeme Mitchison. A good, fresh read, highly recommended.

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