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Pergola: Boosting Visualization And Analysis Of Longitudinal Data By Unlocking Genomic Analysis Tools - Mouse Feeding Behavior Dataset

Authors: Espinosa-Carrasco, Jose; Erb, Ionas; Dierssen, Mara; Notredame, Cedric;

Pergola: Boosting Visualization And Analysis Of Longitudinal Data By Unlocking Genomic Analysis Tools - Mouse Feeding Behavior Dataset

Abstract

Dataset contains feeding and drinking behavioral recordings of C57BL6/J male mice. Mice were distributed into 2 groups (9 control mice and 8 high-fat diet mice) and tracked individually on Phecomp cages for 9 weeks. During the first experimental week all animals were given ad libitum access to a standard chow (habituation phase). After this first week, control mice continued with the same diet regime while high-fat mice were exclusively given ad libitum access to a high-fat chow. Data was used originally in this publication 10.1111/adb.12595. The data set consist in: - a "mouse_recordings" folder containing a CSV file containing mouse recordings and the files. - a "mappings" folder containing all the mappings used by the pergola in the pipeline to convert data. - a "phases" folder containing a CSV file containing experimental phases. - a "chromHMM_files" folder containing a cellmarkfiletable table used by chromHMM to learn a HMM model

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Keywords

nextflow, behavioral computational analysis, pergola, reproducibility

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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