Springer Handbook of Bio-/Neuroinformatics

  • Nikola Kasabov

Table of contents

  1. Front Matter
    Pages I-LVII
  2. Understanding Information Processes in Biological Systems

    1. Front Matter
      Pages 15-15
    2. Takeshi Yamakawa, Hiroko Imasato
      Pages 29-42
    3. Alvin T. Kho, Hongye Liu
      Pages 43-55
    4. Michael G. Paulin
      Pages 73-92
    5. Leonie Z. Pipe
      Pages 93-112
  3. Molecular Biology, Genome and Proteome Informatics

    1. Front Matter
      Pages 113-113
    2. Stijn van Dongen, Anton J. Enright
      Pages 129-150
    3. Stewart G. Stevens, Chris M. Brown
      Pages 151-169
    4. Sebastian Kelm, Yoonjoo Choi, Charlotte M. Deane
      Pages 171-182
  4. Machine Learning Methods for the Analysis, Modeling and Knowledge Discovery from Bioinformatics Data

    1. Front Matter
      Pages 183-183
    2. Colin Campbell
      Pages 185-206
    3. Periklis Andritsos, Igor Jurisica, Janice I. Glasgow
      Pages 207-221
    4. Veselka Boeva, Elena Tsiporkova, Elena Kostadinova
      Pages 223-234
    5. Lipo Wang, Feng Chu, Wei Xie
      Pages 235-245
    6. Mones S. Abu-Asab, Jim DeLeo
      Pages 247-263

About this book

Introduction

The Springer Handbook of Bio-/Neuro-Informatics is the first published book in one volume that explains together the basics and the state-of-the-art of two major science disciplines in their interaction and mutual relationship, namely: information sciences, bioinformatics and neuroinformatics. Bioinformatics is the area of science which is concerned with the information processes in biology and the development and applications of methods, tools and systems for storing and processing of biological information thus facilitating new knowledge discovery. Neuroinformatics is the area of science which is concerned with the information processes in biology and the development and applications of methods, tools and systems for storing and processing of biological information thus facilitating new knowledge discovery.
The text contains 62 chapters organized in 12 parts, 6 of them covering topics from information science and bioinformatics, and 6 cover topics from information science and neuroinformatics. Each chapter consists of three main sections: introduction to the subject area, presentation of methods and advanced and future developments. The Springer Handbook of Bio-/Neuroinformatics can be used as both a textbook and as a reference for postgraduate study and advanced research in these areas. The target audience includes students, scientists, and practitioners from the areas of information, biological and neurosciences.

With Forewords by Shun-ichi Amari of the Brain Science Institute, RIKEN, Saitama and Karlheinz Meier of the University of Heidelberg, Kirchhoff-Institute of Physics and Co-Director of the Human Brain Project.

Keywords

Bioinformatics Neuroinformatics

Editors and affiliations

  • Nikola Kasabov
    • 1
  1. 1.KEDRI – Knowledge Engineering and Discovery Research InstituteAuckland University of TechnologyAucklandNew Zealand

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-30574-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-30573-3
  • Online ISBN 978-3-642-30574-0
  • About this book