LCM-ATAC-seq
Description
R environments to reproduce the LCM-ATAC-seq analysis in Carraro et al., Cell Reports Methods, 2023. Scripts to reproduce the analyses are available at https://github.com/ccarraro/LCM-ATAC-seq. For the mouse datasets, raw LCM-ATAC-seq files and count matrix are available at gene expression omnibus (GEO). The GEO datasets are available as a SuperSeries with the accession number GSE237825 (brain and lung: GSE218216, spleen: GSE237824). Human LCM-ATAC-seq raw data have been deposited on the European Genome-phenome Archive (EGA) at the accession number EGAS00001006167 and are available upon approval by the data access committee (DAC).
R scripts to reproduce the analysis using the following environments are also available at https://github.com/ccarraro/LCM-ATAC-seq
Files
Files
(9.8 GB)
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