CoRE-BED datasets

<p>This dataset contains pre-compiled reference sets for use with the CoRE-BED model that note&nbsp;genome-wide status&nbsp;of 19 genomic features (TSS proximity,&nbsp;H3K27ac, H3K27me3, H3K4me1, H3K4me2, H3K4me3, H3K36me3, H3K79me2, H3K9ac, H3K9me3, H4K20me1,&nbsp;ATAC-seq,&nbsp;DNase-seq,&nbsp;CTCF, EP300, H2AFZ, POL2RA, RAD21, and SMC3) across 816 biosamples encompassing 33 major cell and tissue types. Also included are the raw peak calls in UCSC&nbsp;BED format that were used to generate these reference files.&nbsp;</p> <p>Additionally, we include genome-wide sets of functional predictions generated using the CoRE-BED framework across all 816&nbsp;biosamples, the discrete combinations of 19 genomic features found in each of the major cell and tissue types, and the datasets used to train the CoRE-BED model. Relevant data are made&nbsp;available with both&nbsp;hg19 and hg38 genome build alignments.</p> <p>Please cite:</p> <p>Betti, M.J., Aldrich, M.C.,&nbsp;&amp; Gamazon, E.R. (2023).&nbsp;<em>Maximum-entropy integrative epigenomic framework reveals regulatory mechanisms at human disease loci.&nbsp;</em>Preprint.</p> <p>Betti, M.J., Aldrich, M.C.,&nbsp;&amp; Gamazon, E.R. (2023). CoRE-BED datasets (Version 2). Zenodo.&nbsp;10.5281/zenodo.7558115</p>