Bioinformatics: Sequence Alignment and Markov Models

by Kal Renganathan Sharma

Overview

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

Product Details

ISBN-13:	9780071593076
Publisher:	McGraw Hill LLC
Publication date:	09/29/2008
Sold by:	Barnes & Noble
Format:	eBook
Pages:	350
File size:	5 MB

About the Author

Dr. Kal Renganathan Sharma PE (Prairie View, Texas) received his BTech in chemical engineering from Indian Institute of Technology, Chennai, India and MS and PhD in chemical engineering from West Virginia University, Morgantown. He spent two terms at the department of computer science at Dartmouth College and some time under Ramana Reddy, Director of Concurrent Engineering Research Center, West Virginia University, Morgantown. His postdoctoral research work was with R. Shankar Subramanian, formerly chair and professor, chemical engineering at Clarkson University. He performed some probabilistic modeling while he was at Monsanto Plastics. Dr. Sharma has authored 5 books, 10 journal articles, 440 conference papers, 53 preprints, 37 invited lectures/seminars, and 21 others. He developed the curriculum and syllabus for the M.Tech. in Bioinformatics program when he served as Professor and Head of Department at Vellore Engineering College, India. Dr. Sharma has held a number of other positions including: Principal, Sakthi Engineering College, Chennai, India; Professor, SASTRA University, Thanjavur, India; President, Independent Institute of Technology, Hanover, NH; Adjunct Assistant Professor, Mechanical & Aerospace Engineering, West Virginia University, Morgantown; Visiting Research Assistant Professor, Applied and Engineering Statistics, George Mason University, Fairfax. He has instructed more than 1500 students. Dr. Sharma is currently Adjunct Professor with the college of engineering at Prairie View A & M University.

Table of Contents

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