Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids

@inproceedings{Durbin1998BiologicalSA,
  title={Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids},
  author={R. Durbin and S. Eddy and A. Krogh and G. Mitchison},
  year={1998}
}
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 phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self… Expand
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