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Updated: May 7, 2026

Monitoring Protein-RNA Interaction Dynamics In Vivo at High Temporal Resolution Using χCRAC
Published on: May 9, 2020
CRAK-Velo: chromatin accessibility kinetics integration improves RNA velocity estimation
Nour El Kazwini1, Mingze Gao2, Idris Kouadri Boudjelthia1
1Theoretical and Scientific Data Science, Scuola Internazionale Superiore di Studi Avanzati, Trieste, Italy.
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.
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