Computational Genomics Theory and Application

About this book

This comprehensive book details the application of current computational methods to DNA and protein science. Topics are covered in depth with a practical approach that enables biologists to perform analyses and comparisons of sequence data and to determine functional and structural characteristics of proteins. In particular the book aims to provide an understanding of ways in which such analyses and comparisons are performed in order to help the scientist to be more effective in performing such tasks and intercepting the results.

Contents

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.

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