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Springer Handbook of Bio-/Neuro-Informatics

  • Book
  • © 2014

Overview

  • A research- and application-oriented handbook that covers two of the hottest topics in science and technology
  • A timely and up-to-date reference, edited by an internationally renowned expert
  • Written by leading experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Handbooks (SHB)

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Table of contents (62 chapters)

  1. Understanding Information Processes in Biological Systems

  2. Molecular Biology, Genome and Proteome Informatics

  3. Machine Learning Methods for the Analysis, Modeling and Knowledge Discovery from Bioinformatics Data

Keywords

About this book

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.

Reviews

From the book reviews:

“This handbook is structured in 12 parts, covering a wide variety of notions associated with bio- and neuroinformatics … . The handbook is a valuable and timely resource, which can be used by undergraduates, postgraduates and established researchers. By presenting together a variety of (linked) approaches, it provides a fantastic source for bioinformaticians and neuroinformaticians alike.” (Irina Ioana Mohorianu, zbMATH, Vol. 1304, 2015)

“This is the very best of the encyclopedias and comprehensive book’s about both Medical, Molecular, Genetic, and Neural Informatics currently available. … this is a good textbook for graduate students as a Primer on Neurophysiology and Molecular Medicine. Professionals in these areas will find this book very useful in their daily work … . book is very well referenced at the end of each chapter discussion. … I am pleased to recommend this book to new researchers in the field.” (Joseph J. Grenier, Amazon.com, November,2014)

Editors and Affiliations

  • KEDRI – Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Auckland, New Zealand

    Nikola Kasabov

About the editor

Nikola K Kasabov is currently the Director of the Knowledge Engineering & Discovery Research Institute and Personal Chair of Knowledge Engineering in the School of Information Technology, Auckland University of Technology, New Zealand.
He has published over 350 works, among them journal papers, textbooks, edited research books and monographs, conference papers, book chapters, edited conference proceedings, patents and authorship certificates in the area of intelligent systems, connectionist and hybrid connectionist systems, fuzzy systems, expert systems, speech recognition, bioinformatics, neurocomputing and neural networks.

Prof. Kasabov is a Fellow of IEEE, Fellow of the Royal Society of New Zealand and the New Zealand Computer Society, President of the International Neural Network Society (INNS), Past President of the Asia Pacific Neural Network Assembly (APNNA) and also a member of INNS, ENNS, and the IEEE Computer Society. Recently Prof. Kasabov was endowed the titleof ‘Guest Professor’ at Shanghai Jiao Tong University, China.

Prof. Kasabov is the General Chairman of a series of biannual international conferences on Neurocomputing in New Zealand. In 2007 Prof. Kasabov was awarded The Bayer Science Innovator Award. He received The Royal Society of New Zealand Silver Medal for contribution to Science and Technology in 2001. He is an Associate Editor of numerous international journals and a leader of a National Research Programme funded by the Foundation for Research, Science and Technology (FRST) 

Bibliographic Information

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