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

Abstract

We report a web-based tool for analysis of experiments using indirect calorimetry to measure physiological energy balance. CalR makes simple the process to import raw data files, generate plots, and determine the most appropriate statistical tests for interpretation. Analysis with 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 reevaluated 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.