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• W2979670855 abstract "Abstract Characterizing and interpreting heterogeneous mixtures at the cellular level is a critical problem in genomics. Single-cell assays offer an opportunity to resolve cellular level heterogeneity, e.g., scRNA-seq enables single-cell expression profiling, and scATAC-seq identifies active regulatory elements. Furthermore, while scHi-C can measure the chromatin contacts (i.e., loops) between active regulatory elements to target genes in single cells, bulk HiChIP can measure such contacts in a higher resolution. In this work, we introduce DC3 ( D e- C onvolution and C oupled- C lustering) as a method for the joint analysis of various bulk and single-cell data such as HiChIP, RNA-seq and ATAC-seq from the same heterogeneous cell population. DC3 can simultaneously identify distinct subpopulations, assign single cells to the subpopulations (i.e., clustering) and de-convolve the bulk data into subpopulation-specific data. The subpopulation-specific profiles of gene expression, chromatin accessibility and enhancer-promoter contact obtained by DC3 provide a comprehensive characterization of the gene regulatory system in each subpopulation." @default.
• W2979670855 created "2019-10-18" @default.
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• W2979670855 date "2019-10-10" @default.
• W2979670855 modified "2023-10-16" @default.
• W2979670855 title "DC3 is a method for deconvolution and coupled clustering from bulk and single-cell genomics data" @default.
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• W2979670855 doi "https://doi.org/10.1038/s41467-019-12547-1" @default.
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