Biological Sequence Analysis. Questo articolo non è disponibile.
Durbin, Richard; Eddy, Sean R.; Krogh, Anders
100 valutazioni di Goodreads
Lingua: inglese
Editore: Cambridge University Press, 1998
- Brossura
- Usato
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May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Codice articolo G0521629713I4N00
- Titolo
- Biological Sequence Analysis
- Autore
- Durbin, Richard; Eddy, Sean R.; Krogh, Anders
- Editore
- Cambridge University Press
- Anno di pubblicazione
- 1998
- Condizione
- Very Good
- Sovraccoperta
- No Jacket
- Rilegatura
- Paperback
- Lingua
- inglese
- ISBN 10
- 0521629713
- ISBN 13
- 9780521629713
- Peso dell'articolo
- 1,41 libbre
Presents up-to-date computer methods for analysing DNA, RNA and protein sequences.
"Riassunto" può appartenere a un’altra edizione di questo titolo.
Recensione
'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
'This book is a nice tutorial and introduction to the field and can certainly be recommended to all who wish to analyse biological sequences with computer methods. It can also serve as a basis for a university course for undergraduates.' Trends in Cell Biology
' ... an enjoyable opportunity to see a blend of modeling and data analysis at work on an important class of problems in the rapidly growing field of computational biology.' D. Siegmund, Short Book Reviews
'This book is a nice tutorial and introduction to the field and can certainly be recommended to all who wish to analyse biological sequences with computer methods. It can also serve as a basis for a university course for undergraduates.' Trends in Cell Biology
' ... an enjoyable opportunity to see a blend of modeling and data analysis at work on an important class of problems in the rapidly growing field of computational biology.' D. Siegmund, Short Book Reviews
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