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PyMICE: APython library for analysis of IntelliCage data
IntelliCage is an automated system for recording the behavior of a group of mice housed together. It produces rich, detailed behavioral data calling for new methods and software for their analysis. Here we present PyMICE, a free and open-source library for analysis of IntelliCage data in the Python...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5880855/ https://www.ncbi.nlm.nih.gov/pubmed/28643159 http://dx.doi.org/10.3758/s13428-017-0907-5 |
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author | Dzik, Jakub M. Puścian, Alicja Mijakowska, Zofia Radwanska, Kasia Łęski, Szymon |
author_facet | Dzik, Jakub M. Puścian, Alicja Mijakowska, Zofia Radwanska, Kasia Łęski, Szymon |
author_sort | Dzik, Jakub M. |
collection | PubMed |
description | IntelliCage is an automated system for recording the behavior of a group of mice housed together. It produces rich, detailed behavioral data calling for new methods and software for their analysis. Here we present PyMICE, a free and open-source library for analysis of IntelliCage data in the Python programming language. We describe the design and demonstrate the use of the library through a series of examples. PyMICE provides easy and intuitive access to IntelliCage data, and thus facilitates the possibility of using numerous other Python scientific libraries to form a complete data analysis workflow. |
format | Online Article Text |
id | pubmed-5880855 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-58808552018-04-05 PyMICE: APython library for analysis of IntelliCage data Dzik, Jakub M. Puścian, Alicja Mijakowska, Zofia Radwanska, Kasia Łęski, Szymon Behav Res Methods Article IntelliCage is an automated system for recording the behavior of a group of mice housed together. It produces rich, detailed behavioral data calling for new methods and software for their analysis. Here we present PyMICE, a free and open-source library for analysis of IntelliCage data in the Python programming language. We describe the design and demonstrate the use of the library through a series of examples. PyMICE provides easy and intuitive access to IntelliCage data, and thus facilitates the possibility of using numerous other Python scientific libraries to form a complete data analysis workflow. Springer US 2017-06-22 2018 /pmc/articles/PMC5880855/ /pubmed/28643159 http://dx.doi.org/10.3758/s13428-017-0907-5 Text en © The Author(s) 2017 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Dzik, Jakub M. Puścian, Alicja Mijakowska, Zofia Radwanska, Kasia Łęski, Szymon PyMICE: APython library for analysis of IntelliCage data |
title | PyMICE: APython library for analysis of IntelliCage data |
title_full | PyMICE: APython library for analysis of IntelliCage data |
title_fullStr | PyMICE: APython library for analysis of IntelliCage data |
title_full_unstemmed | PyMICE: APython library for analysis of IntelliCage data |
title_short | PyMICE: APython library for analysis of IntelliCage data |
title_sort | pymice: apython library for analysis of intellicage data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5880855/ https://www.ncbi.nlm.nih.gov/pubmed/28643159 http://dx.doi.org/10.3758/s13428-017-0907-5 |
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