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Bioinformatics of Behavior: Part 1
 
 

Bioinformatics of Behavior: Part 1, 1st Edition

 
Bioinformatics of Behavior: Part 1, 1st Edition,Elissa J Chesler,Melissa Haendel,ISBN9780123884084
 
 
 

International Review of Neurobiology

Chesler   &   Haendel   

Academic Press

9780123884084

9780123884138

216

229 X 152

Leading authors review the state-of-the-art in their field of investigation, and provide their views and perspectives for future research

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Key Features

Leading authors review the state-of-the-art in their field of investigation, and provide their views and perspectives for future research
Chapters are extensively referenced to provide readers with a comprehensive list of resources on the topics covered
All chapters include comprehensive background information and are written in a clear form that is also accessible to the non-specialist

Description

This issue of International Review of Neurobiology is split over 2 volumes, bringing together cutting-edge research on Bioinformatics of Behavior. The 2 volumes review current knowledge and understanding, provide a starting point for researchers and practitioners entering the field, and build a platform for further research and discovery.

Readership

Neuroscientists, psychologists, neurologists

Elissa J Chesler

Melissa Haendel

Bioinformatics of Behavior: Part 1, 1st Edition

  1. Lost and Found in Behavioral Informatics
  2. Melissa A. Haendel and Elissa J. Chesler

  3. Biological Databases for Behavioral Neurobiology
  4. Erich J. Baker

  5. A Survey of the Neuroscience Resource Landscape: Perspectives from the Neuroscience Information Framework
  6. Jonathan Cachat, Anita Bandrowski, Jeffery S. Grethe, Amarnath Gupta, Vadim Astakhov, Fahim Imam, Stephen D. Larson and Maryann E. Martone

  7. The Neuro-Behavior Ontology: an Ontology for Annotation and Integration of Behavior and Behavioral Phenotypes
  8. Georgios V. Gkoutos and Robert Hoehndorf

  9. Ontologies for Human Behavior Analysis and their Application to Clinical Data
  10. Janna Hastings and Stefan Schulz

  11. Text-Mining & Neuroscience
  12. Kyle H. Ambert and Aaron M. Cohen

  13. Applying in Silico Integrative Genomics to Genetic Studies of Human Disease

    Scott F. Saccone
 
 
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