By Thomas Lengauer
Once more, Thomas Lengauer has succeeded in making a complete and immensely worthy bioinformatics source that meets even the excessive criteria of pros within the pharmaceutical and clinical quarter.
via extending the classical software components of bioinformatics to the newest ways in interpreting molecular networks and in predicting molecular functionality, this instruction manual serves as a first-stop source for each bioinformatics consumer within the existence sciences. With contributions through greater than forty of the world's top bioinformaticians, it truly is unrivalled by way of clinical authority and accuracy.
the simplest unmarried details resource on hand, written through pros for pros.
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Extra resources for Bioinformatics - from genomes to therapies
Copley 1375 Momiao Xiong and Li Jin 1427 Xing Jian Lou, Russ B. Altman and Teri E. Klein 39 Pharmacogenetics/Pharmacogenomics 40 Evolution of Drug Resistance in HIV 1457 Niko Beerenwinkel, Kirsten Roomp and Martin Däumer 41 Analyzing the Evolution of Infectious Bacteria 1497 Dawn Field, Edward J. Feil, Gareth Wilson and Paul Swift Part 10 Basic Bioinformatics Technologies 42 Integrating Biological Databases 1525 1525 Zoé Lacroix, Bertram Ludäscher and Robert Stevens XIX XX Contents 43 Visualization of Biological Data 1573 Harry Hochheiser, Kevin W.
Edited by Thomas Lengauer Copyright c 2007 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim ISBN: 978-3-527-31278-8 25 VIII Contents 7 Finding Repeats in Genome Sequences 197 Brian J. Haas and Steven L. Salzberg 8 235 Analyzing Genome Rearrangements Guillaume Bourque 261 Part 4 Molecular Structure Prediction 9 Predicting Simplified Features of Protein Structure 261 Dariusz Przybylski and Burkhard Rost 10 Homology Modeling in Biology and Medicine 297 Roland L. Dunbrack, Jr. 11 Protein Fold Recognition Based on Distant Homologs 351 Ingolf Sommer 12 De Novo Structure Prediction: Methods and Applications 389 Richard Bonneau 419 Philip E.
This book extends this schema in various ways. First, the process line from genome to drug is extended downstream towards the optimization of drug leads and further towards the personalization of drug therapies, which is also beginning to be supported with bioinformatics methods. Second, the book covers the field in substantially more breadth. The different types of available data are discussed more comprehensively and in more detail. On the sequence side, two chapters on RNA have been added. The bioinformatics analysis of evolutionary relationships is addressed in several chapters.