Characterizing chromatin landscape from aggregate and single-cell genomic assays using flexible duration modeling

Characterizing chromatin landscape from aggregate and single-cell genomic assays using flexible duration modeling

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.

Bibliographic Details
Main Authors: Mariano I. Gabitto, Anders Rasmussen, Orly Wapinski, Kathryn Allaway, Nicholas Carriero, Gordon J. Fishell, Richard Bonneau
Format: Article
Language:English
Published: Nature Publishing Group 2020-02-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-14497-5

Internet

https://doi.org/10.1038/s41467-020-14497-5

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