Richard Durbin (Cambridge Sanger Centre), Sean R. Eddy (Missouri Washington University), Anders Krogh (Lyngby Technical University of Denmark)

Biological Sequence Analysis

Mitwirkender: Durbin, Richard; Krogh, Anders; Eddy, Sean R.

• Broschiertes Buch

Produktbeschreibung

Probabilistic methods are assuming greater significance in the analysis of nucleotide sequence data. This book provides the first unified, up-to-date and self-contained account of such methods, and more generally of probabilistic methods of sequence analysis, presented in a Bayesian framework.

Produktdetails

• Verlag: Cambridge University Press
• 1998
• Seitenzahl: 370
• Erscheinungstermin: 2. November 2015
• Englisch
• Abmessung: 244mm x 170mm x 20mm
• Gewicht: 643g
• ISBN-13: 9780521629713
• ISBN-10: 0521629713
• Artikelnr.: 10230363

Inhaltsangabe

1. Introduction; 2. Pairwise sequence alignment; 3. Multiple alignments; 4. Hidden Markov models; 5. Hidden Markov models applied to biological sequences; 6. The Chomsky hierarchy of formal grammars; 7. RNA and stochastic context-free grammars; 8. Phylogenetic trees; 9. Phylogeny and alignment; Index.

Rezensionen

'This book fills an important gap in the bioinformatics literature and should be required reading for anyone who is interested in doing serious work in biological sequence analysis. For biologists who have little formal training in statistics or probability, it is a long-awaited contribution that, short of consulting a professional statistician who is well versed in molecular biology, is the best source of statistical information that is relevant to sequence-alignment problems. This book seems destined to become a classic. I highly recommend it.' Andrew F. Neuwald, Trends in Biochemical Sciences