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By Kun-Mao Chao BS, MS, PhD, Louxin Zhang BSc, MSc, PhD (auth.)

Biomolecular series comparability is the beginning of bioinformatics. this present day, robust series comparability tools, including finished organic databases, have replaced the perform of molecular biology and genomics.

This in-depth, state of the art learn of series alignment and homology seek, covers the complete spectrum of the sector - from alignment how to the speculation of scoring matrices and alignment rating statistics. Following a entire creation, this beneficial text/reference makes a speciality of algorithms and strategies, in addition to discusses the idea. This easy-to-follow textual content examines alignment equipment and methods, includes a new factor of series comparability (the spaced-seed technique), addresses numerous new versatile options for dealing with numerous scoring schemes, and covers the idea at the importance of high-scoring section pairs among unalignment sequences. valuable appendices are supplied for uncomplicated ideas in molecular biology, primer in data and software program for series alignment. The ebook is written for readers with very little wisdom of biology, algorithms and probability.


• offers a rigorous but reader-friendly textual content at the algorithmic thoughts and mathematical foundations of series alignment and homology search

• deals an instructional to help all degrees of readers

• Covers the elemental algorithms and techniques for series alignment

• Introduces well known homology seek programs

• Familiarizes readers with a number of series alignment

• offers with the Karlin-Altschul facts of optimum neighborhood alignment scores

• Discusses substitution matrices

• presents end-of-chapter bibliographic notes and additional analyzing feedback that file similar paintings and up to date progresses

Based on lectures given to scholars learning bioinformatics and arithmetic, this cutting-edge examine of series alignment and homology seek is a perfect source and toolkit for undergraduates and may entice biologists who desire to know the way to take advantage of homology seek instruments extra intelligently.

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