Nature Communications (Feb 2020)
Characterizing chromatin landscape from aggregate and single-cell genomic assays using flexible duration modeling
Abstract
Most currently available statistical tools for the analysis of ATAC-seq data were repurposed from tools developed for other functional genomics data (e.g. ChIP-seq). Here, Gabitto et al develop ChromA, a Bayesian statistical approach for the analysis of both bulk and single-cell ATAC-seq data.