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Computational Methods for Single-Cell Regulomics and Integrative Multiomics

Focus Multiomics

Project Goal

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

Results & Resources

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.


Lead Investigator

William Greenleaf
William Greenleaf