“…Thus, when applied to tissues composed of diverse cell types, these methods can suffer from a low signal to noise ratio. This issue can potentially be overcome by single‐cell approaches, which have been developed for many of the genome‐wide methods described above, including ChIP‐seq (Rotem et al, ), CUT&RUN (Hainer, Bošković, McCannell, Rando, & Fazzio, ), CUT&TAG (Kaya‐okur et al, ), DNase‐seq (W. Jin et al, ), MNase‐seq (Lai et al, ), ATAC‐seq (Buenrostro et al, ; DeWitt et al, ), and Hi‐C (Nagano et al, ). Although highly scalable, at present the single‐cell versions of these methods yield sparse, low‐coverage data that are difficult to analyze using conventional approaches (Ji, Zhou, & Ji, ; Schep, Wu, Buenrostro, & Greenleaf, ).…”