Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic AcidsProbablistic 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