HIGHLIGHTS
SUMMARY
Technical limitations can be attributed to a platform and sequencing depth, while biological limitations arise from low amounts of mRNA molecules in a single cell and stochastic gene_expression. Even though these methods improve downstream analysis, they rely solely on RNAseq data making strong assumptions about statistical distributions for gene_expression and dropout probabilities resulting in high false-positive rates, i.e., an expression value being imputed for a gene that is not expressed. Single cell ATAC-seq (scATAC-seq) is a method capable of revealing active regulatory regions-promoters and enhancers -and shows a strong . . .
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