Taylor & Francis
350 pages | 67 B/W Illus.
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.
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
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.