A LocusZoom extension track for interactively visualizing single-cell chromatin co-accessibility links & scores of sites in genome to predict cis-regulatory interactions.
Data from: Rai, V. et al. Single-cell ATAC-Seq in human pancreatic islets and deep learning upscaling of rare cells reveals cell-specific type 2 diabetes regulatory signatures. Mol Metab 32, 109-121 (2020). (PMID 32029221)
This demonstration shows how to read annotations directly from an external BED track (tabix indexed), without needing to convert the data into JSON or load via a remote API. The remote file server must enable some basic headers. (see instructions for google cloud and s3 buckets)