LanceOtron: a deep learning peak caller for genome sequencing experiments

Abstract Motivation Genome sequencing experiments have revolutionized molecular biology by allowing researchers to identify important DNA-encoded elements genome wide. Regions where these elements are found appear as peaks in the analog signal of an assay’s coverage track, and despite the ease with...

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Veröffentlicht in:	Bioinformatics Jg. 38; H. 18; S. 4255 - 4263
Hauptverfasser:	Hentges, Lance D, Sergeant, Martin J, Cole, Christopher B, Downes, Damien J, Hughes, Jim R, Taylor, Stephen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Oxford University Press 15.09.2022
Schlagworte:	Base Sequence Chromatin Immunoprecipitation Sequencing Deep Learning High-Throughput Nucleotide Sequencing - methods Humans Original Papers Sequence Analysis, DNA - methods Software
ISSN:	1367-4803, 1367-4811, 1460-2059, 1367-4811
Online-Zugang:	Volltext
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