Personalize your data by adding and removing markers in your datasets using PR.Stability Analysis software
When looking at large data sets, it is not easy to go through each individual unfolding curve looking for variations. Thus, researchers need parameters that can act as a quick measure of how protein stability has been altered. No parameter is more important for this ranking than the Tm and the melting onset. PR.Stability Analysis software offers quick automated determination of these parameters—but what if you want to confirm the reliability of this data? The software also makes it easy to check these automatically determined values and add or remove markers to improve data analysis. Let’s begin the next installment of Applications Academy: Defining markers in PR.Stability Analysis.