Datasets and code for A big-data approach to understanding metabolic rate and response to obesity in laboratory mice. 🐭 Analyses conducted in R and CalR.
Figure 1: MMPC experiment: institutional variability in response to low-fat or high-fat diet. All analyses in R. Figure Supplement 1: MMPC experiment: effect of acclimation. Plots ACEG with CalR 4-group template. BDFH in R.
- Figure 1 R code
- MMPC mass data
- MMPC overall calorimetry data
- MMPC site designations
- MMPC week 11 calorimetry data
- MMPC week 0 calorimetry data
- All sites CalR file
- All sites CalR session file
Figure 2: MMPC experiment: institutional variability in metabolic rate. Plots 2A-F in R. Plots 2G-L with CalR 2-group template. Figure Supplement 1: MMPC experiment: energy balance using lean mass as a covariate. All analyses in R. Figure Supplement 2: Body weight, energy balance and RER. All analyses in R.
- Figure 2 R code
- MMPC week 11 calorimetry data
- MMPC site designations
- UC Davis CalR file
- UC Davis CalR session file
- IMPC calorimetry data
- MMPC week 0 full data
- MMPC week 0 mass data
Figure 3: IMPC experiment: institutional variability of metabolic rate. All analyses in R. Figure Supplement 1: IMPC experiment: body weight and metabolic rate. All analyses in R. Figure Supplement 2: Variation in energy expenditure for WT female and male mice. All analyses in R. Figure Supplement 3: Irregularities in the IMPC dataset. All analyses in R.
IMPC experiment: Comparison of three sites by sex and temperature. All analyses in R.
Reproducibility of KO phenotypes. All analyses in R.
Genetic contribution to EE. All analyses in R.
Select physiologic effects on EE. All analyses in R.