Single cell methylation, RNA and ATAC seq data from C57BL/6J and DBA/2J strains

Each file comes from a different cell type identified by clustering. The filenames indicate the cell type where Exc- refers to excitatory neurons and Inh- refers to inhibitory neurons. Non neuronal types are astrocytes and oligodendroglia (ODC). Data are for methylated CpG sites in the mouse genome (non CpG methylation is not included) The files have column headings to be interpreted as follows: <br> <br> chr - chromosome pos - position on the chromosome in basepairs context - a 5bp sequence at the centre of which is the CpG density - the local density of CpG sequences in a 2Kb segment b6.var - C57BL/6J sequence at this site d2.var - DBA/2J sequence at this site b6.me - C57BL/6J number of methylated reads b6.cov - C57BL/6J total read coverage d2.me - DBA/2J number of methylated reads d2.cov - DBA/2J total read coverage gene - gene name at this site cgi - presence of a CpG island tss - presence of a transcriptional start site rna.logp - negative logP of the RNA analysis from DESeq2 comparing C57BL/6J and DBA/2J transcript abundance rna.counts - read counts of snRNA seq, combined values for C57BL/6J and DBA/2J strains rna.log2fold - log2 fold difference in C57BL/6J and DBA/2J transcript abundance from DESeq2 atac.logp - negative logP of the ATACseq analysis from DESeq2 comparing C57BL/6J and DBA/2J transcript abundance atac.log2fold - log2 fold difference in C57BL/6J and DBA/2J ATACseq from DESeq2 atac.counts - read counts of ATACseq, combined values for C57BL/6J and DBA/2J strains states - a set of ‘universal chromatin state annotations’ of the mouse genome based on over 900 datasets from various cell and tissue types (Vu and Ernst, 2023)