Fundamentals of Bioinformatics and Computational Biology

Methods and Exercises in MATLAB

  • Gautam B. Singh

Part of the Modeling and Optimization in Science and Technologies book series (MOST, volume 6)

Table of contents

  1. Front Matter
    Pages 1-14
  2. Background

    1. Front Matter
      Pages 1-1
    2. Gautam B. Singh
      Pages 3-10
    3. Gautam B. Singh
      Pages 11-35
    4. Gautam B. Singh
      Pages 37-76
    5. Gautam B. Singh
      Pages 77-93
  3. Information Retrieval from Biological Databases

    1. Front Matter
      Pages 95-96
    2. Gautam B. Singh
      Pages 97-125
    3. Gautam B. Singh
      Pages 127-142
    4. Gautam B. Singh
      Pages 143-158
    5. Gautam B. Singh
      Pages 159-170
    6. Gautam B. Singh
      Pages 171-188
  4. Biological Sequence Analysis

    1. Front Matter
      Pages 189-191
    2. Gautam B. Singh
      Pages 193-206
    3. Gautam B. Singh
      Pages 207-220
    4. Gautam B. Singh
      Pages 221-231
  5. Phylogenetics and Systems Biology

    1. Front Matter
      Pages 233-233
    2. Gautam B. Singh
      Pages 235-252
    3. Gautam B. Singh
      Pages 253-260
    4. Gautam B. Singh
      Pages 261-271
    5. Gautam B. Singh
      Pages 273-286
    6. Gautam B. Singh
      Pages 287-311
  6. Back Matter
    Pages 313-339

About this book


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.



Alignment functions in MATLAB Bioinformatics with Perl Biolinguistic methods Biological databases DNA patterns Hidden Markov Models Information retrieval MATLAB for microarrays Phylogenetic Analysis in MATLAB Phylogenetic Trees

Authors and affiliations

  • Gautam B. Singh
    • 1
  1. 1.Department of Computer Science and EngineeringOakland UniversityRochesterUSA

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-11402-6
  • Online ISBN 978-3-319-11403-3
  • Series Print ISSN 2196-7326
  • Series Online ISSN 2196-7334
  • Buy this book on publisher's site
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