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      CalR : A Web-Based Analysis Tool for Indirect Calorimetry Experiments

      , , , , ,
      Cell Metabolism
      Elsevier BV

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          Abstract

          <p id="P1">We report a web-based tool for analysis of experiments using indirect calorimetry to measure physiological energy balance. CalR simplifies the process to import raw data files, generate plots, and determine the most appropriate statistical tests for interpretation. Analysis using the generalized linear model (which includes ANOVA and ANCOVA) allows for flexibility in interpreting diverse experimental designs including those of obesity and thermogenesis. Users may also produce standardized output files for an experiment which can be shared and subsequently re-evaluated using CalR. This framework will provide the transparency necessary to enhance consistency, rigor, and reproducibility. The CalR analysis software will greatly increase the speed and efficiency with which metabolic experiments can be organized, analyzed per accepted norms, and reproduced—and will likely become a standard tool for the field. CalR is accessible at <a data-untrusted="" href="https://www.calrapp.org/" id="d517316e166" target="xrefwindow">https://www.CalRapp.org/</a>. </p><p id="P2">Indirect calorimetry is a powerful tool for studying energy balance. These experiments produce rich datasets, but are difficult to analyze properly and lack transparency. Mina and colleagues created a rigorous tool, CalR, that takes raw data from indirect calorimeters and allows comprehensive data exploration, reproducible workflows, and provides standardized analyses. </p>

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          Author and article information

          Journal
          Cell Metabolism
          Cell Metabolism
          Elsevier BV
          15504131
          July 2018
          July 2018
          Article
          10.1016/j.cmet.2018.06.019
          6170709
          30017358
          ca922f38-e6c7-4e42-8846-e57e232b47b9
          © 2018

          https://www.elsevier.com/tdm/userlicense/1.0/

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