Bioinformatics Sequence Alignment and Markov Models is popular PDF and ePub book, written by Kal Renganathan Sharma in 2008-09-29, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Bioinformatics Sequence Alignment and Markov Models can be Read Online from any device for your convenience.

Bioinformatics Sequence Alignment and Markov Models Book PDF Summary

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

Detail Book of Bioinformatics Sequence Alignment and Markov Models PDF

Bioinformatics  Sequence Alignment and Markov Models
  • Author : Kal Renganathan Sharma
  • Release : 29 September 2008
  • Publisher : McGraw Hill Professional
  • ISBN : 9780071593076
  • Genre : Technology & Engineering
  • Total Page : 338 pages
  • Language : English
  • PDF File Size : 19,8 Mb

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