Single-cell multi-omics technologies and methods characterize cell states and activities by
simultaneously integrating various single-modality omics methods that profile the …

The joint analysis of the genome, epigenome, transcriptome, proteome and/or metabolome
from single cells is transforming our understanding of cell biology in health and disease. In …

Mapping single-cell sequencing profiles to comprehensive reference datasets provides a
powerful alternative to unsupervised analysis. However, most reference datasets are …

The recent development of experimental methods for measuring chromatin state at single-
cell resolution has created a need for computational tools capable of analyzing these …

Cell type-specific gene expression patterns and dynamics during development or in disease
are controlled by cis-regulatory elements (CREs), such as promoters and enhancers …

Recent technological advances have enabled massively parallel chromatin profiling with
scATAC-seq (single-cell assay for transposase accessible chromatin by sequencing). Here …

Promoter editing represents an innovative approach to introduce quantitative trait variation
(QTV) in crops. However, an efficient promoter editing system for QTV needs to be …

During mammalian development, differences in chromatin state coincide with cellular
differentiation and reflect changes in the gene regulatory landscape. In the developing brain …

Cell differentiation and function are regulated across multiple layers of gene regulation,
including modulation of gene expression by changes in chromatin accessibility. However …

Current computational workflows for comparative analyses of single-cell datasets typically
use discrete clusters as input when testing for differential abundance among experimental …