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Biological sequence analysis : probabilistic models of proteins and nucleic a…
Probablistic models are becoming increasingly important in analyzing 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 analyzing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring…
- Edition
- 10th
- ISBN/ISSN
- 9780521629713
- Collation
- xi, 357 p. : ill. : ind. ; 25 cm.
- Series Title
- -
- Call Number
- 572.8633 Dur b
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