Treffer: Zebrabase: An Intuitive Tracking Solution for Aquatic Model Organisms.

Title:
Zebrabase: An Intuitive Tracking Solution for Aquatic Model Organisms.
Authors:
Oltova J; 1 Department of Cell Differentiation, Institute of Molecular Genetics AS CR v.v.i. , Prague, Czech Republic ., Jindrich J; 2 CZ-OPENSCREEN, Institute of Molecular Genetics AS CR v.v.i. , Prague, Czech Republic .; 3 Department of Organic Chemistry, Faculty of Science, Charles University , Prague, Czech Republic ., Skuta C; 2 CZ-OPENSCREEN, Institute of Molecular Genetics AS CR v.v.i. , Prague, Czech Republic ., Svoboda O; 1 Department of Cell Differentiation, Institute of Molecular Genetics AS CR v.v.i. , Prague, Czech Republic ., Machonova O; 1 Department of Cell Differentiation, Institute of Molecular Genetics AS CR v.v.i. , Prague, Czech Republic ., Bartunek P; 1 Department of Cell Differentiation, Institute of Molecular Genetics AS CR v.v.i. , Prague, Czech Republic .; 2 CZ-OPENSCREEN, Institute of Molecular Genetics AS CR v.v.i. , Prague, Czech Republic .
Source:
Zebrafish [Zebrafish] 2018 Dec; Vol. 15 (6), pp. 642-647. Date of Electronic Publication: 2018 Sep 20.
Publication Type:
Journal Article; Research Support, Non-U.S. Gov't
Language:
English
Journal Info:
Publisher: Mary Ann Liebert, Inc Country of Publication: United States NLM ID: 101225070 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1557-8542 (Electronic) Linking ISSN: 15458547 NLM ISO Abbreviation: Zebrafish Subsets: MEDLINE
Imprint Name(s):
Original Publication: Larchmont, NY : Mary Ann Liebert, Inc., c2004-
References:
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Zebrafish. 2010 Jun;7(2):189-97. (PMID: 20438386)
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Zebrafish. 2010 Sep;7(3):281-7. (PMID: 20874493)
Mamm Genome. 2010 Apr;21(3-4):205-15. (PMID: 20140675)
Contributed Indexing:
Keywords: Django; Python; facility database; husbandry; tracking; zebrafish
Entry Date(s):
Date Created: 20180921 Date Completed: 20190204 Latest Revision: 20190215
Update Code:
20250114
PubMed Central ID:
PMC6277078
DOI:
10.1089/zeb.2018.1609
PMID:
30234459
Database:
MEDLINE

Weitere Informationen

Small fish species, such as zebrafish and medaka, are increasingly gaining popularity in basic research and disease modeling as a useful alternative to rodent model organisms. However, the tracking options for fish within a facility are rather limited. In this study, we present an aquatic species tracking database, Zebrabase, developed in our zebrafish research and breeding facility that represents a practical and scalable solution and an intuitive platform for scientists, fish managers, and caretakers, in both small and large facilities. Zebrabase is a scalable, cross-platform fish tracking database developed especially for fish research facilities. Nevertheless, this platform can be easily adapted for a wide variety of aquatic model organisms housed in tanks. It provides sophisticated tracking, reporting, and management functions that help keep animal-related records well organized, including a QR code functionality for tank labeling. The implementation of various user roles ensures a functional hierarchy and customized access to specific functions and data. In addition, Zebrabase makes it easy to personalize rooms and racks, and its advanced statistics and reporting options make it an excellent tool for creating periodic reports of animal usage and productivity. Communication between the facility and the researchers can be streamlined by the database functions. Finally, Zebrabase also features an interactive breeding history and a smart interface with advanced visualizations and intuitive color coding that accelerate the processes.