Online tools for analysis of indirect calorimetry data

CalR: A Free Web Application for Indirect Calorimetry Analysis
An online tool for visualization and optimal statistical analysis of data generated by CLAMS that simplifies the workflow for core users.
https://calrapp.org

MMPC Energy Expenditure Analysis Page
Uses optimal ANCOVA analysis to assess the impact of covariates (e.g. Mass) on energy expenditure.
https://www.mmpc.org/shared/regression.aspx

dkNET Webinar: A New Approach to the Study of Energy Balance and Obesity using CalR 05/08/2020: https://www.youtube.com/watch?v=oEwlC3uAimQ

Relevant Publications:

Design and Interpretation of Metabolic Studies

Approach to assessing determinants of glucose homeostasis in the conscious mouse.
Hughey CC, Wasserman DH, Lee-Young RS, Lantier L.
MammGenome. 2014 Oct;25(9-10):522-38.

Considerations in the design of hyperinsulinemic-euglycemic clamps in the conscious mouse.
Ayala JE, Bracy DP, McGuinness OP, Wasserman DH.
Diabetes. 55(2): 390-7, 2006.

Indirect Calorimetry Analysis

CalR: A Web-Based Analysis Tool for Indirect Calorimetry Experiments.
Amir I. Mina, Raymond A. LeClair, Katherine B. LeClair, David E. Cohen, Louise Lantier, Alexander S. Banks
Cell Metabolism 28, 656–666

A Guide to Analysis of Mouse Energy Metabolism.
Matthias H Tschöp , John R Speakman, Jonathan R S Arch, Johan Auwerx, Jens C Brüning, Lawrence Chan, Robert H Eckel, Robert V Farese Jr, Jose E Galgani, Catherine Hambly, Mark A Herman, Tamas L Horvath, Barbara B Kahn, Sara C Kozma, Eleftheria Maratos-Flier, Timo D Müller, Heike Münzberg, Paul T Pfluger, Leona Plum, Marc L Reitman, Kamal Rahmouni, Gerald I Shulman, George Thomas, C Ronald Kahn, Eric Ravussin.
Nat Methods. 2011 Dec 28;9(1):57-63.

A Recurring Problem With the Analysis of Energy Expenditure in Genetic Models Expressing Lean and Obese Phenotypes.
Andrew A. Butler and Leslie P. Kozak.
Diabetes 2010 Feb; 59(2): 323-329.