Computational Methods for Single-Cell Regulomics and Integrative Multiomics

To develop easy-to-use, stable, and distributable analysis pipelines capable of providing deep insight into chromatin accessibility data sets.

The Greenleaf lab developed a package for ATAC-seq analysis, ChrAccR, that facilitates user-friendly analyses of large chromatin accessibility datasets, such as quality control, exploratory analyses, and the identification and characterization of differentially accessible regions. Additionally, they developed MAVRIC, a nonparametric method to quantify variance explained by experimental covariates and perform differential analysis on arbitrary data types.