Springer Handbook of Bio- and Neuroinformatics

Research output: Book/ReportBook

Abstract

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.
Original languageEnglish
Place of PublicationHeidelberg
PublisherSpringer Berlin
Number of pages1230
Volume1
Edition1
ISBN (Electronic)978-3-642-30574-0
ISBN (Print)978-3-642-30573-3
DOIs
Publication statusPublished - 12 Aug 2014

Keywords

  • bioinformatics
  • neuroinformatics
  • Computational modelling
  • Information systems
  • genetics
  • proteomics
  • biological data bases
  • brain data modelling

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