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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Fundamentals of bioinformatics and computational biology/ by Gautam B. Singh.
Reminder of title:	methods and exercises in MATLAB /
Author:	Singh, Gautam B.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xvi, 339 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Bioinformatics. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-11403-3
ISBN:	9783319114033 (electronic bk.)

Fundamentals of bioinformatics and computational biology = methods and exercises in MATLAB /
Singh, Gautam B.

Fundamentals of bioinformatics and computational biologymethods and exercises in MATLAB /[electronic resource] :by Gautam B. Singh. - Cham :Springer International Publishing :2015. - xvi, 339 p. :ill. (some col.), digital ;24 cm. - Modeling and optimization in science and technologies,v.62196-7326 ;. - Modeling and optimization in science and technologies ;v.2..

Background -- Biological Database Retrieval -- Biological Sequence Analysis.-Phylogenetics and Systems Biology.

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 applying the principles of information technology to challenges in biological data management, sequence analysis, and systems biology. The first part of the book also includes a survey of existing biological databases, tools that have become essential in today's biotechnology research. The second part of the book covers methodologies for retrieving biological information, including fundamental algorithms for sequence comparison, scoring, and determining evolutionary distance. The main focus of the third part is on modeling biological sequences and patterns as Markov chains. It presents key principles for analyzing and searching for sequences of significant motifs and biomarkers. The last part of the book, dedicated to systems biology, covers phylogenetic analysis and evolutionary tree computations, as well as gene expression analysis with microarrays. In brief, the book offers the ideal hands-on reference guide to the field of bioinformatics and computational biology.

ISBN: 9783319114033 (electronic bk.)

Standard No.: 10.1007/978-3-319-11403-3doiSubjects--Uniform Titles:

MATLAB.
Subjects--Topical Terms:

583857
Bioinformatics.

LC Class. No.: QH324.2

Dewey Class. No.: 570.285

Fundamentals of bioinformatics and computational biology = methods and exercises in MATLAB /
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520 $a 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 applying the principles of information technology to challenges in biological data management, sequence analysis, and systems biology. The first part of the book also includes a survey of existing biological databases, tools that have become essential in today's biotechnology research. The second part of the book covers methodologies for retrieving biological information, including fundamental algorithms for sequence comparison, scoring, and determining evolutionary distance. The main focus of the third part is on modeling biological sequences and patterns as Markov chains. It presents key principles for analyzing and searching for sequences of significant motifs and biomarkers. The last part of the book, dedicated to systems biology, covers phylogenetic analysis and evolutionary tree computations, as well as gene expression analysis with microarrays. In brief, the book offers the ideal hands-on reference guide to the field of bioinformatics and computational biology.
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