GENERAL FEATURES of SIGMAPLOT Enzyme Kinetics MODULES
Data Management
Cut and paste data from any application or enter data manually
Enter units for velocity, substrate and inhibitor concentration
Vary substrate concentration, inhibitor concentration or both
Allows replicate measurements
Handles missing values
Can numerically modify velocity data
Formatted worksheet with column protection
Custom labels for graph, axis and units
Output/Report Generation
Full report generation complete with statistical analysis Goodness of fit criteria includes Akaike’s Information Criterion (AIC)
The Data Report includes replicate mean velocities and their standard errors, the predicted and residual values from the curve fit and an indication of data outliers
The Statistical Report generated for each model includes the parameter values with their standard errors and 95% confidence intervals, AICc, R2, sum of squares, standard error of the regression, and the significance level for the runs test
The Model Comparison Report provides a comparison of the different models
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