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...

Full description

Bibliographic Details

Published in:	Bioinformatics Vol. 38; no. 18; pp. 4255 - 4263
Main Authors:	Hentges, Lance D, Sergeant, Martin J, Cole, Christopher B, Downes, Damien J, Hughes, Jim R, Taylor, Stephen
Format:	Journal Article
Language:	English
Published:	England Oxford University Press 15.09.2022
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!