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Updated: Jun 19, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Community-level physiological profiling.

Kela P Weber1, Raymond L Legge

  • 1Department of Chemical Engineering, University of Waterloo, Waterloo, ON, Canada.

Methods in Molecular Biology (Clifton, N.J.)
|November 3, 2009
PubMed
Summary
This summary is machine-generated.

Community-level physiological profiling (CLPP) analyzes microbial community function using sole carbon source utilization patterns (CSUPs). This guide details the CLPP protocol and essential data analysis techniques for microbial ecology research.

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Last Updated: Jun 19, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

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Published on: July 27, 2018

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10:45

A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings

Published on: January 22, 2018

Area of Science:

  • Microbial Ecology
  • Environmental Microbiology
  • Biotechnology

Background:

  • Community-level physiological profiling (CLPP) is a valuable technique for assessing microbial community function.
  • It provides insights into functional adaptations across different spatial and temporal scales.
  • Sole carbon source utilization patterns (CSUPs) are key data generated by CLPP.

Purpose of the Study:

  • To describe the CLPP laboratory protocol.
  • To detail various data analysis techniques for CLPP data.
  • To facilitate the comparison and classification of microbial communities.

Main Methods:

  • The study outlines the practical laboratory protocol for CLPP.
  • It details the use of BIOLOG microplates for gathering CSUPs.
  • Various statistical and computational methods for analyzing CLPP data are presented.

Main Results:

  • The chapter provides a clear description of the CLPP methodology.
  • It offers a comprehensive overview of data analysis approaches for CLPP.
  • The described methods enable effective comparison and classification of microbial communities.

Conclusions:

  • CLPP is an accessible method for understanding microbial community function.
  • Effective data analysis is crucial for extracting meaningful insights from CLPP.
  • This work serves as a guide for researchers utilizing CLPP in microbial ecology.