High-resolution melting data error evaluation between runs

Maksim Bratchikov, Mykolas Mauricas
Centre for Innovative Medicine, State Research Institute, Vilnius, Lithuania

High-resolution melting (HRM) based method for the bacterial (Salmonella spp. as a target) genome typing was applied. The targets for this typing were chosen from different variable sequences. All raw data was derived on Rotor-Gene 65H0-100. Slight but essential HRM variations between runs were found for same samples tested. Therefore, reference samples for this HRM error evaluation between runs were included. The calculations we suggested were applied for raw data error normalization between runs and fluorescent normalization. We successfully normalized melting errors between runs. Data of all samples tested can be stored for the comparison with newly tested samples.

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