Data Input
How it works
- Optional smoothing via local polynomial regression (Savitzky–Golay style) over an odd window.
- Derive slope dF/dT from the same local polynomial and use the negative to highlight melt peaks.
- Detect local maxima above your height threshold and enforce a minimum temperature separation.
Input format
Temp, Fluor 75.0, 34210 75.5, 34022 ...
FAQs
Tm is the temperature where the double stranded product denatures most rapidly. In derivatives it appears as a peak in the negative slope of fluorescence versus temperature.
During melting, fluorescence typically decreases as temperature rises. Taking the negative derivative highlights the steepest drop as an upward peak that is simple to detect and compare.
Use the smallest odd window that suppresses noise while preserving peak shape. For dense data, 7–15 works well. Increase slowly and watch for peak flattening.
Multiple peaks may indicate primer dimers, nonspecific amplification, or mixed products. Compare Tm values to expected references and consider optimizing primers or cycling conditions.
Prominence is a measure of how much a peak stands out from its neighboring minima. Higher prominence generally reflects a stronger or cleaner melting transition.
Yes. Select your input unit. Internally the data are converted to Celsius for computation and converted back for display in the results table.
Try lowering the minimum height threshold, widening the smoothing window, or verifying data order and delimiters. Extremely noisy or sparse data can hide true transitions.