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The Zebrafish Neurophenome Database (ZND): a dynamic open‐access resource for zebrafish neuroscience research
Author(s) -
Kyzar Evan,
Zapolsky Ivan,
Gaikwad Siddharth,
Green Jeremy,
Roth Andrew,
Stewart Adam,
Collins Christopher,
Monnig Louis,
Davis Ari,
El-Ounsi Mohamed,
Freeman Andrew,
Capezio Nicholas,
Kalueff Allan
Publication year - 2012
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.26.1_supplement.1042.10
Subject(s) - zebrafish , danio , computer science , resource (disambiguation) , computational biology , biology , data science , gene , genetics , computer network
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 strong body of zebrafish neurophenotypic data. This study was supported by the National Institute on Drug Abuse (NIDA) R03 grant to AVK.