Fundamentals of bioinformatics and computational biology : methods and exercises in MATLAB /

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Bibliographic Details
Author / Creator:Singh, Gautam B., author.
Imprint:Cham : Springer, [2014]
©2015
Description:1 online resource (xvi, 339 pages) : illustrations (some color).
Language:English
Series:Modeling and Optimization in Science and Technologies, 2196-7326 ; volume 6
Modeling and optimization in science and technologies ; volume 6.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11088201
Hidden Bibliographic Details
ISBN:9783319114033
3319114034
9783319114026
Notes:Includes index.
Online resource; title from PDF title page (SpringerLink, viewed October 9, 2014).
Summary:This book offers comprehensive coverage of all the core topics of bioinformatics, and includes practical examples completed using the MATLAB bioinformatics toolbox™. It is primarily intended as a textbook for engineering and computer science students attending advanced undergraduate and graduate courses in bioinformatics and computational biology. The book develops bioinformatics concepts from the ground up, starting with an introductory chapter on molecular biology and genetics. This chapter will enable physical science students to fully understand and appreciate the ultimate goals of applyin.
Other form:Print version: Singh, Gautam B. Fundamentals of Bioinformatics and Computational Biology : Methods and Exercises in MATLAB Cham : Springer International Publishing,c2014 9783319114026
Standard no.:10.1007/978-3-319-11403-3
Review by Choice Review

Bioinformatics has experienced significant growth in the last 20 years, matched by an explosion of books and reviews in the last 10. This work, a recent addition to the introductory textbook arena, differentiates itself by utilizing MATLAB for sequence analysis and experimentation. In the first part of the book, Singh (Oakland Univ.) introduces basic biological concepts, databases, and sequence processing with MATLAB. The second part is devoted to sequence comparison, while the third and fourth parts delve into motif and gene finding, phylogenetics, and microarray analysis. Except for sequence comparison and phylogeny, most topics are covered in limited depth. The content and teaching approach seem oriented primarily toward computational scientists, and particularly engineering students, for which MATLAB is often a tool of choice. Several other introductory bioinformatics textbooks cover a wider variety of topics, some in greater detail, and often discuss other important topics such as next-generation sequencing, and RNA and protein folding. Overall the book offers one more good choice for introductory bioinformatics courses and can be especially valuable to students who are already familiar with MATLAB. Summing Up: Recommended. Upper-division undergraduates and graduate students. --Dimitris Papamichail, The College of New Jersey

Copyright American Library Association, used with permission.
Review by Choice Review