The Zebrafish Neurophenome Database (ZND): A dynamic open-access resource for zebrafish neurophenotypic data

Evan Kyzar, Ivan Zapolsky, Jeremy Green, Siddharth Gaikwad, Mimi Pham, Christopher Collins, Andrew Roth, Adam Michael Stewart, Paul St-Pierre, Budd Hirons, Allan V. Kalueff*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

Zebrafish (Danio rerio) are widely used in neuroscience research, where their utility as a model organism is rapidly expanding. Low cost, ease of experimental manipulations, and sufficient behavioral complexity make zebrafish a valuable tool for high-throughput studies in biomedicine. To complement the available repositories for zebrafish genetic information, there is a growing need for the collection of zebrafish neurobehavioral and neurological phenotypes. For this, we are establishing the Zebrafish Neurophenome Database (ZND; www.tulane.edu/∼znpindex/search) as a new dynamic online open-access data repository for behavioral and related physiological data. ZND, currently focusing on adult zebrafish, combines zebrafish neurophenotypic data with a simple, easily searchable user interface, which allow scientists to view and compare results obtained by other laboratories using various treatments in different testing paradigms. As a developing community effort, ZND is expected to foster innovative research using zebrafish by federating the growing body of zebrafish neurophenotypic data.

Original languageEnglish
Pages (from-to)8-14
Number of pages7
JournalZebrafish
Volume9
Issue number1
DOIs
Publication statusPublished - 1 Mar 2012
Externally publishedYes

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