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PyMICE: 1.2.1 release

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 06 May 2016Publisher:Zenodo
Authors: Dzik, Jakub Mateusz; Łęski, Szymon; Puścian, Alicja;

doi: 10.5281/zenodo.884419 , 10.5281/zenodo.557087 , 10.5281/zenodo.884418 , 10.5281/zenodo.832981 , 10.5281/zenodo.51092 , 10.5281/zenodo.832982 , 10.5281/zenodo.200648

Abstract

PyMICE is a Python® library for mice behavioural data analysis. The library can be used for loading and analysing of data obtained from IntelliCage™ system in an intuitive way in Python programming language. The library provides user with an object oriented application programming interface (API) and a data abstraction layer. It also comes with auxiliary tools supporting development of analysis workflows, like data validators and a tool for workflow configuration. We ask that that reference to our paper as well as to the library itself is provided in any published research making use of PyMICE. The recommended in-text citation format is: PyMICE (Dzik, Puścian, et al. 2017) v. 1.2.1 (Dzik, Łęski, & Puścian 2017) and the recommended bibliography entry format: Dzik J. M., Łęski S., Puścian A. (September 5, 2017) "PyMICE" computer software (v. 1.2.1; RRID:nlx_158570) doi: 10.5281/zenodo.884419 Dzik J. M., Puścian A., Mijakowska Z., Radwanska K., Łęski S. (June 22, 2017) "PyMICE: A Python library for analysis of IntelliCage data" Behavior Research Methods doi: 10.3758/s13428-017-0907-5 If the journal does not allow for inclusion of the resource identifier (RRID:nlx_158570) in the bibliography, we ask to provide it in-text: PyMICE (RRID:nlx_158570) [1] v. 1.2.1 [2] Dzik JM, Puścian A, Mijakowska Z, Radwanska K, Łęski S. PyMICE: A Python library for analysis of IntelliCage data. Behav Res Methods. 2017. DOI: 10.3758/s13428-017-0907-5 Dzik JM, Łęski S, Puścian A. PyMICE [computer software]. Version 1.2.0. Warsaw: Nencki Institute - PAS; 2017. DOI: 10.5281/zenodo.884419 We have provided a solution to facilitate referencing to the library. Please run: >>> help(pm.Citation) for more information (given that the library is imported as pm). For more details please see the project website: https://neuroinflab.wordpress.com/research/pymice/ . Auhors of the library Jakub Dzik Szymon Łęski Author of the tutorial data Alicja Puścian Changes Fixed a bug breaking installation of the library from sources available in the PyPI. Fixed a bug breaking reading data from an uncompressed directory in Python 3. Simplified the welcome message on import of the library.

Acknowledgement: JD and SŁ supported by Symfonia NCN grant: UMO-2013/08/W/NZ4/00691. AP supported by a grant from Switzerland through the Swiss Contribution to the enlarged European Union (PSPB-210/2010 to Ewelina Knapska and Hans-Peter Lipp).

Related Organizations
Keywords

python, mice, analysis, library, intellicage, behaviour

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