Bioinformatics of Behavior: Part 1

by Elissa J Chesler (Editor), Melissa Haendel (Editor)

Overview

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. - 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

Product Details

ISBN-13:	9780123884138
Publisher:	Elsevier Science & Technology Books
Publication date:	12/31/2012
Series:	International Review of Neurobiology , #103
Sold by:	Barnes & Noble
Format:	eBook
Pages:	216
File size:	3 MB

Table of Contents

- Lost and Found in Behavioral Informatics Melissa A. Haendel and Elissa J. Chesler - Biological Databases for Behavioral Neurobiology Erich J. Baker - A Survey of the Neuroscience Resource Landscape: Perspectives from the Neuroscience Information Framework Jonathan Cachat, Anita Bandrowski, Jeffery S. Grethe, Amarnath Gupta, Vadim Astakhov, Fahim Imam, Stephen D. Larson and Maryann E. Martone - The Neuro–Behavior Ontology: an Ontology for Annotation and Integration of Behavior and Behavioral Phenotypes Georgios V. Gkoutos and Robert Hoehndorf - Ontologies for Human Behavior Analysis and their Application to Clinical Data Janna Hastings and Stefan Schulz - Text-Mining & Neuroscience Kyle H. Ambert and Aaron M. Cohen - Applying in Silico Integrative Genomics to Genetic Studies of Human Disease: A Review Scott F. Saccone

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From the Publisher

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