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Article

Trainable high resolution melt curve machine learning classifier for large-scale reliable genotyping of sequence variants.

PloS one - 1 Jan 2014

Athamanolap Pornpat, Parekh Vishwa, Fraley Stephanie I, Agarwal Vatsal, Shin Dong J, Jacobs Michael A, Wang Tza-Huei, Yang Samuel

Abstract excerpt

High resolution melt (HRM) is gaining considerable popularity as a simple and robust method for genotyping sequence variants. However, accurate genotyping of an unknown sample for which a large number of possible variants may exist will require an automated HRM curve identification method capable of comparing unknowns against a large cohort of known sequence variants. Herein, we describe a new method for...

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PMID: 25275518
DOI: 10.1371/journal.pone.0109094
PMCID: PMC4183555

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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