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SleepInvestigatoR: a flexible R function for analyzing scored sleep in rodents.

Mackenzie C Gamble1, Benjamin R Williams2, James T McKenna3

  • 1Molecular and Translational Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.

Sleep Advances : a Journal of the Sleep Research Society
|June 10, 2025
PubMed
Summary
This summary is machine-generated.

SleepInvestigatoR is a new R tool that automates the analysis of rodent sleep data. It enhances efficiency and reproducibility for researchers studying sleep in health and disease.

Keywords:
Rcircadian rhythmsopen-source codesleep architecture

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Area of Science:

  • Neuroscience
  • Computational Biology
  • Animal Behavior

Background:

  • Manual analysis of scored sleep data is time-consuming and prone to errors.
  • Efficient analysis is crucial for understanding sleep changes in health and disease.
  • Large animal numbers and long recordings exacerbate these challenges.

Purpose of the Study:

  • To introduce SleepInvestigatoR, a versatile R package for automated sleep data analysis.
  • To streamline the organization and analysis of multiple scored sleep files.
  • To improve efficiency, interpretation, and reproducibility in rodent sleep research.

Main Methods:

  • SleepInvestigatoR is an open-source R function with 25 customizable parameters.
  • It processes multiple scored sleep files into a unified output.
  • Includes a plotting function for data visualization.

Main Results:

  • SleepInvestigatoR analyzes scored sleep data, providing 23 unique sleep measures.
  • The tool is designed for ease of use with minimal coding expertise required.
  • Step-by-step instructions are available on GitHub.

Conclusions:

  • SleepInvestigatoR significantly enhances the efficiency of analyzing rodent sleep data.
  • The tool promotes greater reproducibility and interpretation accuracy in sleep research.
  • It is a valuable resource for sleep researchers dealing with large datasets.