Lost and Found in Behavioral Informatics

Melissa Haendel, Elissa J. Chesler

Research output: Contribution to journalArticle

Abstract

From early anatomical lesion studies to the molecular and cellular methods of today, a wealth of technologies have provided increasingly sophisticated strategies for identifying and characterizing the biological basis of behaviors. Bioinformatics is a growing discipline that has emerged from the practical needs of modern biology, and the history of systematics and ontology in data integration and scientific knowledge construction. This revolution in biology has resulted in a capability to couple the rich molecular, anatomical, and psychological assays with advances in data dissemination and integration. However, behavioral science poses unique challenges for biology and medicine, and many unique resources have been developed to take advantage of the strategies and technologies of an informatics approach. The collective developments of this diverse and interdisciplinary field span the fundamentals of database development and data integration, ontology development, text mining, genetics, genomics, high-throughput analytics, image analysis and archiving, and numerous others. For the behavioral sciences, this provides a fundamental shift in our ability to associate and dissociate behavioral processes and relate biological and behavioral entities, thereby pinpointing the biological basis of behavior.

Original languageEnglish (US)
Pages (from-to)1-18
Number of pages18
JournalInternational Review of Neurobiology
Volume103
DOIs
StatePublished - 2012

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Informatics
Behavioral Sciences
Technology
Biological Phenomena
Modern 1601-history
Aptitude
Data Mining
Genomics
Computational Biology
Medicine
Databases
Psychology

Keywords

  • Behavioral classification
  • Bioinformatics
  • Databases
  • Genomics
  • Neuroscience

ASJC Scopus subject areas

  • Clinical Neurology
  • Cellular and Molecular Neuroscience

Cite this

Lost and Found in Behavioral Informatics. / Haendel, Melissa; Chesler, Elissa J.

In: International Review of Neurobiology, Vol. 103, 2012, p. 1-18.

Research output: Contribution to journalArticle

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