Zebrabase: An Intuitive Tracking Solution for Aquatic Model Organisms.

Content Provider	Europe PMC
Author	Oltova, Jana Jindrich, Jindrich Skuta, Ctibor Svoboda, Ondrej Machonova, Olga Bartunek, Petr
Copyright Year	2018
Abstract	Abstract 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.
Related Links	https://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC6277078&blobtype=pdf
Page Count	6
ISSN	15458547
Volume Number	15
DOI	10.1089/zeb.2018.1609
PubMed Central reference number	PMC6277078
Issue Number	6
PubMed reference number	30234459
Journal	Zebrafish
e-ISSN	15578542
Language	English
Publisher	Mary Ann Liebert, Inc., publishers
Publisher Date	2018-09-20
Publisher Place	USA
Access Restriction	Open
Rights License	This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. © Jana Oltova et al. 2018; Published by Mary Ann Liebert, Inc.
Subject Keyword	zebrafish tracking husbandry facility database Django Python
Content Type	Text
Resource Type	Article
Subject	Developmental Biology Animal Science and Zoology