Back to search

Article

Inferring transcriptional activation and repression activity maps in single-nucleotide resolution using deep-learning

2023-08-23

Abstract excerpt

<title>Abstract</title> <p>Recent computational methods for inferring cell type-specific functional regulatory elements have used sequence and epigenetic data. Active regulatory elements are characterized by open-chromatin state, and the novel experimental technique ATAC-STARR-seq couples ATAC-seq assays, which capture such genomic regions, with a functional assay (STARR-seq) to selectively examine the regulatory...

Topics

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

Identifiers and source

Literature Corpus work
47207b7f-61a4-5db8-9c44-64b37ce9188a
DOI
10.21203/rs.3.rs-3270775/v1
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.
Inferring transcriptional activation and repression activity maps in single-nucleotide resolution using deep-learningDOI 10.21203/rs.3.rs-3270775/v1
Select a neighboring publication to make it the new centre.