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In total there are 3 jupyter notebooks together with 3 html files for ease of access in this repository. (1) Master notebook & FastQC and Mapping of reads using star and subsequent feature count (this notebook), (2) the DESeq2 analysis in R for the statistical analysis, (3) Functional analysis using arbitrary (GProfiler, iRegulon) and "leading e…
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/. Specific…