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Bioinformatics: Sequence Alignment and Markov Models
Bioinformatics: Sequence Alignment and Markov Models
Date: 28 April 2011, 11:49

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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
About the Author
Kal Renganathan Sharma, Ph.D., P.E., has written five books, 11 journal articles, and hundreds of conference papers. He has held a number of high-level positions at engineering colleges and universities. Dr. Sharma currently teaches at Prairie View A&M University in Prairie View, Texas.

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