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RodentSQL: a software suite for colony management of animal protocols

AIM: Animal experiments tend to generate large-scale data. Some existing tools like Microsoft Excel and colony management cloud-based tools are either cumbersome or expensive. There is a need for an inexpensive and uncomplicated colony management software with specific individual database solutions....

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Autores principales: Pawar, Shrikant, Batra, Harshul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Future Science Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6153456/
https://www.ncbi.nlm.nih.gov/pubmed/30271620
http://dx.doi.org/10.4155/fsoa-2018-0054
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author Pawar, Shrikant
Batra, Harshul
author_facet Pawar, Shrikant
Batra, Harshul
author_sort Pawar, Shrikant
collection PubMed
description AIM: Animal experiments tend to generate large-scale data. Some existing tools like Microsoft Excel and colony management cloud-based tools are either cumbersome or expensive. There is a need for an inexpensive and uncomplicated colony management software with specific individual database solutions. METHODS: We have developed a database application named RodentSQL to meet most of the requirements of such animal colony management programs. RESULTS: We present a user-friendly secure system for managing records of phenotype, genotype and metadata for comprehensive data analysis and mining. RodentSQL can be altered based upon user needs. We have successfully tested its usage in beta users for managing data of hamsters and mice. CONCLUSION: A central facility can share and benefit from this colony management system. RodentSQL can increase workflow efficiency and data security leading to significant cost savings and enhanced scientific results. RodentSQL is offered to the scientific community as an open source software.
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spelling pubmed-61534562018-09-28 RodentSQL: a software suite for colony management of animal protocols Pawar, Shrikant Batra, Harshul Future Sci OA Short Communication AIM: Animal experiments tend to generate large-scale data. Some existing tools like Microsoft Excel and colony management cloud-based tools are either cumbersome or expensive. There is a need for an inexpensive and uncomplicated colony management software with specific individual database solutions. METHODS: We have developed a database application named RodentSQL to meet most of the requirements of such animal colony management programs. RESULTS: We present a user-friendly secure system for managing records of phenotype, genotype and metadata for comprehensive data analysis and mining. RodentSQL can be altered based upon user needs. We have successfully tested its usage in beta users for managing data of hamsters and mice. CONCLUSION: A central facility can share and benefit from this colony management system. RodentSQL can increase workflow efficiency and data security leading to significant cost savings and enhanced scientific results. RodentSQL is offered to the scientific community as an open source software. Future Science Ltd 2018-07-27 /pmc/articles/PMC6153456/ /pubmed/30271620 http://dx.doi.org/10.4155/fsoa-2018-0054 Text en © 2018 Shrikant Pawar This work is licensed under a Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/)
spellingShingle Short Communication
Pawar, Shrikant
Batra, Harshul
RodentSQL: a software suite for colony management of animal protocols
title RodentSQL: a software suite for colony management of animal protocols
title_full RodentSQL: a software suite for colony management of animal protocols
title_fullStr RodentSQL: a software suite for colony management of animal protocols
title_full_unstemmed RodentSQL: a software suite for colony management of animal protocols
title_short RodentSQL: a software suite for colony management of animal protocols
title_sort rodentsql: a software suite for colony management of animal protocols
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6153456/
https://www.ncbi.nlm.nih.gov/pubmed/30271620
http://dx.doi.org/10.4155/fsoa-2018-0054
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