Format

Send to

Choose Destination
Cell Metab. 2018 Oct 2;28(4):656-666.e1. doi: 10.1016/j.cmet.2018.06.019. Epub 2018 Jul 12.

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

Author information

1
Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA 02115, USA.
2
Springbok LLC, Boston, MA 02109, USA.
3
Division of Gastroenterology & Hepatology, Weill Cornell Medical College, New York, NY 10065, USA.
4
Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37212, USA.
5
Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA 02115, USA. Electronic address: abanks@bwh.harvard.edu.

Abstract

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 also may produce standardized output files for an experiment that 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 https://CalRapp.org/.

KEYWORDS:

ANCOVA; CLAMS; biostatistics; energy balance; energy expenditure; food intake; indirect calorimetry; metabolic phenotyping; metabolism; reproducibility

PMID:
30017358
PMCID:
PMC6170709
[Available on 2019-10-02]
DOI:
10.1016/j.cmet.2018.06.019

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center