Gaussian mixture model-based unsupervised nucleotide modification number detection using nanopore-sequencing readouts
Abstract
Motivation Nucleotide modification status can be decoded from the Oxford Nanopore Technologies nanopore-sequencing ionic current signals. Although various algorithms have been developed for nanopore-sequencing-based modification analysis, more detailed characterizations, such as modification numbers, corresponding signal levels and proportions are still lacking. Results We present a framework for the unsupervised determination of the number of...
Paper Details
Title
Gaussian mixture model-based unsupervised nucleotide modification number detection using nanopore-sequencing readouts
Published Date
Jun 29, 2020
Journal
Volume
36
Issue
19
Pages
4928 - 4934
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