Meltdown - a tool for classification and analysis of DSF data

Jayne, Michael, Ristic, Marko, Rosa, Nicholas, Seabrook, Shane A., Newman, Janet, Lovell, David, & Lucent, Del (2015) Meltdown - a tool for classification and analysis of DSF data. Biophysical Journal, 108(2, Supplement 1), 519a.

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An application that translates raw thermal melt curve data into more easily assimilated knowledge is described. This program, called ‘Meltdown’, performs a number of data remediation steps before classifying melt curves and estimating melting temperatures. The final output is a report that summarizes the results of a differential scanning fluorimetry experiment. Meltdown uses a Bayesian classification scheme, enabling reproducible identification of various trends commonly found in DSF datasets. The goal of Meltdown is not to replace human analysis of the raw data, but to provide a sensible interpretation of the data to make this useful experimental technique accessible to naïve users, as well as providing a starting point for detailed analyses by more experienced users.

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ID Code: 93439
Item Type: Journal Article
Refereed: Yes
DOI: 10.1016/j.bpj.2014.11.2845
ISSN: 0006-3495
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 13 Mar 2016 22:39
Last Modified: 14 Mar 2016 21:00

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