Computational Genomics - Theory and Application

Zusatztext Computational Genomics: Theory and Applications should be a valuable asset to any investigator struggling to keep up with the current status of publicly available data repositories and analytical tools! but requiring understanding of the logic behind the analysis. - Expert Review of Molecular Diagnosis! Volume 5! No. 4! 2005 Informationen zum Autor Richard P. Grant Klappentext This major new work is an invaluable laboratory manual for all scientists involved with computational genomics. Topics covered include database searches! sequence analysis and comparison! multiple sequence analysis! large-scale EST analysis! genome browsing! protein structure prediction! mircroarray data analysis! and proteomics. The book is also useful as a teaching reference for graduates and undergraduate students. Zusammenfassung This comprehensive book details the application of current computational methods to DNA and protein structure. Inhaltsverzeichnis 1. Introduction to Sequence Analysis. 2. Sequence Databases. 3. Multiple Sequence Analysis Part I: An Introduction to the Theory and Application of Multiple Sequence Analysis. 4. Multiple Sequence Analysis Part II: a Practical Tour of SeqLab! the Accelrys GCG Wisconsin Package. 5. Hidden Markov Models: Principles and Applications. 6. Large scale EST analysis. 7. Genquire and Apollo: The Evolution of Genome Browsers. 8. Genquire and Apollo: Construction of a Genome 'Sandbox'. 9. Protein Structure Prediction. 10. Structure Databases/Proteomics Tools. 11. An Introduction to Microarray Data Analysis. 12. Jemboss - a Graphical Interface to EMBOSS. 13. SeWeR. 14. BioMOBY.

Product details

• Authors: Richard P. Grant, Richard P. (Medical Research Council Grant, GRANT RICHARD P
• Assisted by: R. P. Grant (Editor), Richard P. Grant (Editor), Richard P. (Medical Research Council Grant (Editor), Grant Richard P. (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 22.07.2004
• EAN: 9781904933014
• ISBN: 978-1-904933-01-4
• No. of pages: 316
• Subjects: Natural sciences, medicine, IT, technology > Biology > Genetics, genetic engineering; SCIENCE / Life Sciences / Genetics & Genomics, Genetics (non-medical), Dna & Genome, SCIENCE / Bioinformatics, Computational biology / bioinformatics