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Strategies for Assessing Autistic-Like Behaviors in Mice
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Lost and found in behavioral informatics.

Melissa A Haendel1, Elissa J Chesler

  • 1Oregon Health & Science University, Portland, Oregon, USA. haendel@ohsu.edu

International Review of Neurobiology
|December 1, 2012
PubMed
Summary
This summary is machine-generated.

Bioinformatics integrates diverse biological data, from molecular to psychological assays, to understand behavior. This informatics approach revolutionizes pinpointing the biological basis of behavior.

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Area of Science:

  • Behavioral science
  • Bioinformatics
  • Genomics

Background:

  • Historically, identifying the biological basis of behavior relied on anatomical studies.
  • Modern biology employs advanced molecular and cellular techniques.
  • Behavioral science presents unique challenges for biological and medical research.

Purpose of the Study:

  • To highlight the role of bioinformatics in understanding behavior.
  • To showcase the development of informatics resources for behavioral science.
  • To explain how data integration advances biological research.

Main Methods:

  • Leveraging bioinformatics for data integration and knowledge construction.
  • Utilizing systematics and ontology for organizing biological data.
  • Applying informatics approaches to behavioral science challenges.

Main Results:

  • Bioinformatics enables coupling molecular, anatomical, and psychological data.
  • Development of diverse interdisciplinary resources including databases, ontologies, and text mining.
  • Advanced analytics, image analysis, and archiving support research.

Conclusions:

  • Informatics approaches fundamentally shift the ability to associate biological and behavioral entities.
  • This facilitates pinpointing the biological basis of behavior.
  • Interdisciplinary collaboration drives innovation in behavioral science research.