Problem Solving Handbook in Computational Biology and Bioinformatics

  • Lenwood S. Heath
  • Naren Ramakrishnan

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Sequences

    1. Front Matter
      Pages 1-2
    2. Jian Ma, Louxin Zhang
      Pages 3-19
    3. Tobias Rausch, Knut Reinert
      Pages 21-43
    4. John L. Spouge
      Pages 45-60
  3. Phylogenetics

    1. Front Matter
      Pages 61-62
    2. Paul Marjoram, Paul Joyce
      Pages 63-84
    3. Paul Ryvkin, Li-San Wang
      Pages 101-124
    4. Paola Sebastiani, Nadia Solovieff
      Pages 159-175
  4. Proteins: Structure, Function, and Biochemistry

    1. Front Matter
      Pages 177-178
    2. Bonnie Berger, Jéerôme Waldispühl
      Pages 179-207
  5. Networks

    1. Front Matter
      Pages 231-232
    2. Christopher D. Lasher, Christopher L. Poirel, T. M. Murali
      Pages 233-252
    3. Sinan Erten, Mehmet Koyutürk
      Pages 253-267
  6. Biological Data Management and Mining

    1. Front Matter
      Pages 269-270
    2. Paola Sebastiani, Jacqui Milton, Ling Wang
      Pages 271-290
    3. Karthik Devarajan
      Pages 291-318

About this book

Introduction

Bioinformatics is growing by leaps and bounds; theories/algorithms/statistical techniques are constantly evolving. Nevertheless, a core body of algorithmic ideas have emerged and researchers are beginning to adopt a "problem solving" approach to bioinformatics, wherein they use solutions to well-abstracted problems as building blocks to solve larger scope problems.

Problem Solving Handbook for Computational Biology and Bioinformatics is an edited volume contributed by world renowned leaders in this field. This comprehensive handbook with problem solving emphasis, covers all relevant areas of computational biology and bioinformatics. Web resources and related themes are highlighted at every opportunity in this central easy-to-read reference.

Designed for advanced-level students, researchers and professors in computer science and bioengineering as a reference or secondary text, this handbook is also suitable for professionals working in this industry.

Keywords

Biochemical Networks Biochemistry Bioinformatic networks Bioinformatics Biomedical Data Integration Computational Systems BIology Modern BLAST programs Phylogenetics Population Genetics Protein Structure Protein-Protein Interaction Networks Sequence alignment Stochastic calculus Stochastic simulation Text mining Text processing genomics

Editors and affiliations

  • Lenwood S. Heath
    • 1
  • Naren Ramakrishnan
    • 2
  1. 1.Dept. Computer ScienceVirginia TechBlacksburgUSA
  2. 2.Dept. Computer ScienceVirginia TechBlacksburgUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-09760-2
  • Copyright Information Springer Science+Business Media, LLC 2011
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-0-387-09759-6
  • Online ISBN 978-0-387-09760-2
  • About this book