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IntelliPy: a GUI for analyzing IntelliCage data

SUMMARY: The IntelliCage systems offer the possibility to conduct long-term behavioral experiments on mice in social groups without human intervention. Although this setup provides new findings, only about 150 studies with the IntelliCage system have been published in the last two decades, which is...

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Detalles Bibliográficos
Autores principales: Ruffini, Nicolas, Müller, Marianne B, Schmitt, Ulrich, Gerber, Susanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570781/
https://www.ncbi.nlm.nih.gov/pubmed/34601559
http://dx.doi.org/10.1093/bioinformatics/btab682
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author Ruffini, Nicolas
Müller, Marianne B
Schmitt, Ulrich
Gerber, Susanne
author_facet Ruffini, Nicolas
Müller, Marianne B
Schmitt, Ulrich
Gerber, Susanne
author_sort Ruffini, Nicolas
collection PubMed
description SUMMARY: The IntelliCage systems offer the possibility to conduct long-term behavioral experiments on mice in social groups without human intervention. Although this setup provides new findings, only about 150 studies with the IntelliCage system have been published in the last two decades, which is also caused by the challenging problems of processing and handling the large and heterogeneous amounts of captured data. This application note introduces the Python-GUI IntelliPy, especially designed for users not very experienced in using programming languages. IntelliPy allows users to quickly analyze the IntelliCage output in a user-friendly way, thus making the systems more accessible to a broader audience. AVAILABILITY AND IMPLEMENTATION: https://github.com/NiRuff/IntelliPy. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-85707812021-11-08 IntelliPy: a GUI for analyzing IntelliCage data Ruffini, Nicolas Müller, Marianne B Schmitt, Ulrich Gerber, Susanne Bioinformatics Applications Notes SUMMARY: The IntelliCage systems offer the possibility to conduct long-term behavioral experiments on mice in social groups without human intervention. Although this setup provides new findings, only about 150 studies with the IntelliCage system have been published in the last two decades, which is also caused by the challenging problems of processing and handling the large and heterogeneous amounts of captured data. This application note introduces the Python-GUI IntelliPy, especially designed for users not very experienced in using programming languages. IntelliPy allows users to quickly analyze the IntelliCage output in a user-friendly way, thus making the systems more accessible to a broader audience. AVAILABILITY AND IMPLEMENTATION: https://github.com/NiRuff/IntelliPy. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2021-10-02 /pmc/articles/PMC8570781/ /pubmed/34601559 http://dx.doi.org/10.1093/bioinformatics/btab682 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Notes
Ruffini, Nicolas
Müller, Marianne B
Schmitt, Ulrich
Gerber, Susanne
IntelliPy: a GUI for analyzing IntelliCage data
title IntelliPy: a GUI for analyzing IntelliCage data
title_full IntelliPy: a GUI for analyzing IntelliCage data
title_fullStr IntelliPy: a GUI for analyzing IntelliCage data
title_full_unstemmed IntelliPy: a GUI for analyzing IntelliCage data
title_short IntelliPy: a GUI for analyzing IntelliCage data
title_sort intellipy: a gui for analyzing intellicage data
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570781/
https://www.ncbi.nlm.nih.gov/pubmed/34601559
http://dx.doi.org/10.1093/bioinformatics/btab682
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