Probabilistic types have gotten more and more vital in analysing the large volume of knowledge being produced through large-scale DNA-sequencing efforts similar to the Human Genome venture. for instance, hidden Markov versions are used for analysing organic sequences, linguistic-grammar-based probabilistic versions for deciding on RNA secondary constitution, and probabilistic evolutionary types for inferring phylogenies of sequences from diversified organisms. This ebook offers a unified, updated and self-contained account, with a Bayesian slant, of such tools, and extra mostly to probabilistic equipment of series research. Written by means of an interdisciplinary workforce of authors, it goals to be obtainable to molecular biologists, computing device scientists, and mathematicians with out formal wisdom of the opposite fields, and while current the state of the art during this new and hugely very important box.
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