Microbial Typing by Machine Learned DNA Melt Signatures.
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ABSTRACT:
SUBMITTER: Andini N
PROVIDER: S-EPMC5292719 | biostudies-literature | 2017 Feb
REPOSITORIES: biostudies-literature
Publications
Microbial Typing by Machine Learned DNA Melt Signatures.
Andini Nadya N Wang Bo B Athamanolap Pornpat P Hardick Justin J Masek Billie J BJ Thair Simone S Hu Anne A Avornu Gideon G Peterson Stephen S Cogill Steven S Rothman Richard E RE Carroll Karen C KC Gaydos Charlotte A CA Wang Jeff Tza-Huei JT Batzoglou Serafim S Yang Samuel S
Scientific reports 20170206
There is still an ongoing demand for a simple broad-spectrum molecular diagnostic assay for pathogenic bacteria. For this purpose, we developed a single-plex High Resolution Melt (HRM) assay that generates complex melt curves for bacterial identification. Using internal transcribed spacer (ITS) region as the phylogenetic marker for HRM, we observed complex melt curve signatures as compared to 16S rDNA amplicons with enhanced interspecies discrimination. We also developed a novel Naïve Bayes curv ...[more]
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