Back to search

Article

LanceOtron: a deep learning peak caller for ATAC-seq, ChIP-seq, and DNase-seq

2021-01-27

Abstract excerpt

ATAC-seq, ChIP-seq, and DNase-seq 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 which humans can visually categorize these regions, meaningful peak calls from whole genome datasets require complex analytical techn...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
b4eade3f-062f-568b-8f4a-4b90b4da5c5e
DOI
10.1101/2021.01.25.428108
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
LanceOtron: a deep learning peak caller for ATAC-seq, ChIP-seq, and DNase-seqDOI 10.1101/2021.01.25.428108
Select a neighboring publication to make it the new centre.