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.

View at publisher

Abstract

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.

Impact and interest:

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

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

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page