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...

Celý popis

Podrobná bibliografia

Vydané v:	Bioinformatics Ročník 38; číslo 18; s. 4255 - 4263
Hlavní autori:	Hentges, Lance D, Sergeant, Martin J, Cole, Christopher B, Downes, Damien J, Hughes, Jim R, Taylor, Stephen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Oxford University Press 15.09.2022
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!