Bioinformatics: Sequence Alignment and Markov Models by Sharma, Kal;

Rövid leírás:

BIOINFORMATICS

Sequence Alignment and Markov Models

Hosszú leírás:

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

GET FULLY UP-TO-DATE ON BIOINFORMATICS-THE TECHNOLOGY OF THE 21ST CENTURY

Bioinformatics showcases the latest developments in the field along with all the foundational information you'll need. It provides in-depth coverage of a wide range of autoimmune disorders and detailed analyses of suffix trees, plus late-breaking advances regarding biochips and genomes.

Featuring helpful gene-finding algorithms, Bioinformatics offers key information on sequence alignment, HMMs, HMM applications, protein secondary structure, microarray techniques, and drug discovery and development. Helpful diagrams accompany mathematical equations throughout, and exercises appear at the end of each chapter to facilitate self-evaluation.

This thorough, up-to-date resource features:

• Worked-out problems illustrating concepts and models
• End-of-chapter exercises for self-evaluation
• Material based on student feedback
• Illustrations that clarify difficult math problems
• A list of bioinformatics-related websites

Bioinformatics covers:

• Sequence representation and alignment
• Hidden Markov models
• Applications of HMMs
• Gene finding
• Protein secondary structure prediction
• Microarray techniques
• Drug discovery and development
• Internet resources and public domain databases

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

GET FULLY UP-TO-DATE ON BIOINFORMATICS-THE TECHNOLOGY OF THE 21ST CENTURY

Bioinformatics showcases the latest developments in the field along with all the foundational information you'll need. It provides in-depth coverage of a wide range of autoimmune disorders and detailed analyses of suffix trees, plus late-breaking advances regarding biochips and genomes.

Featuring helpful gene-finding algorithms, Bioinformatics offers key information on sequence alignment, HMMs, HMM applications, protein secondary structure, microarray techniques, and drug discovery and development. Helpful diagrams accompany mathematical equations throughout, and exercises appear at the end of each chapter to facilitate self-evaluation.

This thorough, up-to-date resource features:

• Worked-out problems illustrating concepts and models
• End-of-chapter exercises for self-evaluation
• Material based on student feedback
• Illustrations that clarify difficult math problems
• A list of bioinformatics-related websites

Bioinformatics covers:

• Sequence representation and alignment
• Hidden Markov models
• Applications of HMMs
• Gene finding
• Protein secondary structure prediction
• Microarray techniques
• Drug discovery and development
• Internet resources and public domain databases

Tartalomjegyzék:

Preface
Acknowledgments
Chapter 1. Preliminaries
Part 1: Sequence Alignment and Representation
Chapter 2. Alignment of a Pair of Sequences
Chapter 3. Sequence Representation and String Algorithms
Chapter 4. Multiple-Sequence Alignment
Part 2: Probability Models
Chapter 5. Hidden Markov Models and Applications
Chapter 6. Gene Finding, Protein Secondary Structure
Part 3: Measurement Techniques
Chapter 7. Biochips
Chapter 8. Electrophoretic Techniques and Finite Speed of Diffusion
Appendix A. Internet Hotlinks to Public-Domain Databases
Appendix B. PERL for Bioinformaticists
Index