Cambridge University Press Cambridge Biological Sequence Analysis - Probabilistic Models Book

As large-scale DNA-sequencing efforts like the Human Genome Project generate massive amounts of data, probabilistic models have become essential for modern biological analysis. This comprehensive text from Cambridge University Press provides a unified and self-contained account of these vital methods. Readers will gain a deep understanding of how hidden Markov models are applied to biological sequences and how linguistic-grammar-based probabilistic models help identify RNA secondary structures. The book also covers probabilistic evolutionary models used for inferring phylogenies from sequences across different organisms. Written with a Bayesian slant, this resource offers an up-to-date perspective on the mathematical frameworks driving bioinformatics. It is an ideal reference for those needing to master the probabilistic methods used to interpret complex biological data and advance scientific research in chemical and biochemical engineering contexts.