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Uncertainty reigns in many domains as the Trump administration takes power. Science is no exception. Federal support for biological research must continue. And scientists must not be silenced by political pressure.
In this Review, the authors compare commonly used chromosome conformation capture techniques, describing their respective strengths and weaknesses, and provide advice for the end user on which approach and analysis method to use.
Marker enrichment modeling (MEM) provides an objective metric for characterizing cell populations from high-content single-cell analysis. The MEM score outperforms standard metrics and provides a machine-readeable label for cell subsets.
Single-cell combinatorial indexed Hi-C (sciHi-C) is a streamlined protocol for generating thousands of high-quality single-cell chromosome conformation data sets that resemble bulk Hi-C data in aggregate.
Single-cell combinatorial indexed sequencing (SCI-seq) resolves genomic heterogeneity by generating thousands of low-pass single-cell libraries at once for somatic copy number variant detection.