Genome Biol. 2026 May 5. doi: 10.1186/s13059-026-04086-y. Online ahead of print.
ABSTRACT
RNA velocity has recently emerged as a key tool in the analysis of single-cell transcriptomic data, yet connecting RNA velocity analyses to underlying regulatory processes has proved challenging. Here, we propose CRAK-Velo, a semi-mechanistic model that integrates chromatin accessibility data in the estimation of RNA velocities. CRAK-Velo provides biologically consistent estimates of developmental flows and enables accurate cell-type deconvolution, while additionally shining light on regulatory processes at the level of interactions between genes and chromatin regions.
PMID:42087173 | DOI:10.1186/s13059-026-04086-y
