Please help us improve CalR by taking this brief survey to figure out what features we should implement into future versions.
Reproducibility, Transparency, Simplicity, and Standardization.
Import data from Columbus Instruments CLAMS, Sable Promethion and TSE PhenoMaster.
Full analysis can be produced in minutes after importing raw data, designating groups and selecting time frame.
For all producable plots, users may select preferences such as colors, text size and line width before exporting them.
CalR implements the consensus method of analysis using regression based models and accounting for body mass as a covariate.
Everything leading to analysis is exportable, from excluded data to users' workflows.
Our framework allows quick production of new templates to account for unique experimental conditions.
CalR was used for the analysis of indirect calorimetry data in several peer-reviewed articles.
Lawrence Kazak, Edward T. Chouchani, Gina Z. Lu, Mark P. Jedrychowski, Curtis J. Bare, Amir I. Mina, Manju Kumari, Song Zhang, Ivan Vuckovic, Dina Laznik-Bogoslavski, Petras Dzeja, Alexander S. Banks, Evan D. Rosen, Bruce M. Spiegelman
Colin J. Palmer, Raphael J. Bruckner, Joao A. Paulo, Lawrence Kazak, Jonathan Z. Long, Amir I. Mina, Zhaoming Deng, Katherine B. LeClair, Jessica A. Hall, Shangyu Hong, Peter-James H. Zushin, Kyle L. Smith, Steven P. Gygi, Susan Hagen, David E. Cohen, Alexander S. Banks