Trainable high resolution melt curve machine learning classifier for large-scale reliable genotyping of sequence variants.
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...
Main Authors: | Pornpat Athamanolap, Vishwa Parekh, Stephanie I Fraley, Vatsal Agarwal, Dong J Shin, Michael A Jacobs, Tza-Huei Wang, Samuel Yang |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2014-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4183555?pdf=render |
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