This study establishes proof-of-concept for a cardiomyopathy diagnostic algorithm using chromatin accessibility signatures at a sequencing depth achievable by benchtop instruments.
To reproduce results:
Samadrita Bhattacharyya#, Jialei Duan#, Ryan J. Vela, Minoti Bhakta, Pietro Bajona, Pradeep P.A. Mammen, Gary C. Hon* and Nikhil V. Munshi* (2022). Accurate Classification of Cardiomyopathy Diagnosis by Chromatin Accessibility. Circulation 146, 878–881.
DOI: https://doi.org/10.1161/CIRCULATIONAHA.122.059659