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Biological Sequence Analysis

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Biological Sequence Analysis
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420.10元

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内容简介

Probabilistic models are becoming increasingly important in analysing 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 analysing 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-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.

作者简介

Sean R. Eddy is a scientist who leads a research group at the Howard Hughes Medical Institute (HHMI) Janelia Farm Research Campus in Virginia, with interests in bioinformatics, computational biology and biological sequence analysis. Current projects include the use of Hidden Markov models in HMMER, Infernal[10] Pfam and Rfam. In 2007, Sean was the winner of the Benjamin Franklin Award in Bioinformatics for contributions to Open Access in the Life Sciences.

Professor Anders Krogh is a bioinformatician at the University of Copenhagen, where he leads the university's bioinformatics center. He is well known for his pioneering work on the use of hidden Markov models in bioinformatics (together with David Haussler), and is co-author of a widely used textbook in bioinformatics. In addition, he also co-authored one of the early textbooks on neural networks. His current research interests include promotor analysis, non-coding RNA, gene prediction and protein structure prediction.

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