Data Supplement
Files in this Data Supplement:
- Data Supplement
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The current studies have required the development of a novel algorithm (RFRET) to quantitate FRET data that greatly reduces
its co-efficient of variation (CV). To illustrate the advantages of this approach we have taken both the data generated in
these studies and data provided from previous key papers from other groups. Re-calculations of both previously published
data using RFRET and comparisons of our data calculated using RFRET and the previously published methodologies, clearly demonstrate
that RFRET provides markedly better data quality...