Resolving the gene-regulatory dimension of the Fly Cell Atlas using single-cell multi-omics and deep learning KU Leuven
Single-cell transcriptomics and single-cell epigenomics provide a powerful means of cataloging known cell types, discovering novel ones, and deciphering their underlying regulatory principles.
Constructing such a cell atlas requires state-of-the-art single-cell technologies that combine droplet microfluidics, cell hashing approaches, and multi-omics. Even more so, building a whole-animal atlas focused on genome regulation involves many ...