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Tidy R query API for the harmonised and curated CELLxGENE single-cell atlas.
R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)
Brings SingleCellExperiment objects to the tidyverse
This repository consists of two **Jupyter Notebooks** created to document a comparison of a mouse brain snATAC-seq (single nuclei assay for transposase accessible chromatin with sequencing) data set from http://catlas.org/mousebrain/ with a scRNA-seq (single cell RNA sequencing) data set from the Linnarsson lab's http://mousebrain.org/. Specifically, in this code, I identify differences in neuronal vs other cell types in the mouse brain based on chromatin accessibility (snATAC-seq signal of a specific region aggregated by cell type/cluster) and gene expression (scRNA-seq signal aggregated by cell type/cluster).