Handbook of Hidden Markov Models in Bioinformatics

Informationen zum Autor Gollery! Martin Klappentext The increasing popularity of profile/hidden Markov model (HMM) methods has led to an increase in the number of databases that support these algorithms. Although most bioinformatics books reference some of these available methods! few mention any databases other than PFAM. Offering practical advice that draws on the author's own experience! the Handbook of Hidden Markov Models in Bioinformatics discusses how to effectively use these databases and methods in order to identify features of biological interest. This comprehensive guide includes links to additional resources in each chapter and a CD-ROM with related material and programs. Zusammenfassung Focuses on how to choose and use various methods and programs available for HMMs. This work explores HMM implementations important in bioinformatics, including SAM, HMMER, Wise2, PSI-BLAST, and Meta-MEME, and shows how numerous databases and programs, such as Pfam, SMART, SUPERFAMILY, and PANTHER, are used in bioinformatics projects. Inhaltsverzeichnis Introduction to HMMs and Related Profile Methods. Profile HMMs.HMM Methods.HMM Databases.Building an Analytical Pipeline. Building Custom Databases. Speeding Your Searches.Other Uses of HMMs in Bioinformatics. Index.

Product details

• Authors: Martin Gollery, Martin (Tahoe Informatics Gollery, Gollery Martin
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 12.06.2008
• EAN: 9781584886846
• ISBN: 978-1-58488-684-6
• No. of pages: 176
• Dimensions: 159 mm x 248 mm x 13 mm
• Series: Chapman & Hall/CRC Mathematical and Computational Biology; Chapman & Hall/CRC Mathematical and Computational Biology
• Subjects: Natural sciences, medicine, IT, technology > Biology > General, dictionaries; MATHEMATICS / Probability & Statistics / General, SCIENCE / Life Sciences / Biology, SCIENCE / Biotechnology, COMPUTERS / Programming / Games, Biology, life sciences