scATACseq cell type-specific peaks from human brain tissue

Each row represents an individual peak identified from the feature binarization analysis (see methods).

get_CORCES2020_scATACseq_celltype_peaks()

Source

https://doi.org/10.1038/s41588-020-00721-x

Details

Data originally from Corces et al. (bioRxiv), as of May 2020. Specifically: STable6_Features_scATAC-seq_celltype_Peaks

See also

Other CORCES2020: CORCES2020_get_ATAC_peak_overlap(), CORCES2020_get_hichip_fithichip_overlap(), CORCES2020_prepare_bulkATAC_peak_overlap(), CORCES2020_prepare_scATAC_peak_overlap(), get_CORCES2020_bulkATACseq_peaks(), get_CORCES2020_cicero_coaccessibility(), get_CORCES2020_hichip_fithichip_loop_calls(), get_CORCES2020_scATACseq_peaks()

Examples

if (FALSE) {
dat <- readxl::read_excel(
    file.path(
        "~/Desktop/Fine_Mapping/echolocatoR/annotations",
        "Coceres_2020/STable6_Features_scATAC-seq_celltype_Peaks.xlsx"
    ),
    skip = 15
)
CORCES2020_scATACseq_celltype_peaks <- data.table::data.table(dat)

#### piggyback ####
tmp <- file.path(tempdir(), "CORCES2020_scATACseq_celltype_peaks.tsv.gz")
data.table::fwrite(CORCES2020_scATACseq_celltype_peaks, tmp, sep = "\t")
piggyback::pb_upload(
    file = tmp,
    repo = "RajLabMSSM/echoannot"
)
}