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 …

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

Emerging spatial technologies, including spatial transcriptomics and spatial epigenomics,
are becoming powerful tools for profiling of cellular states in the tissue context,,,–. However …

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

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 …

Abstract Canonical (H3. 1/H3. 2) and noncanonical (H3. 3) histone 3 K27M-mutant gliomas
have unique spatiotemporal distributions, partner alterations and molecular profiles. The …

Single-cell omics technologies have revolutionized the study of gene regulation in complex
tissues. A major computational challenge in analyzing these datasets is to project the large …

Intratumour heterogeneity (ITH) is a hallmark of cancer that drives tumour evolution and
disease progression. Technological and computational advances have enabled us to …

The recent development of spatial omics methods has enabled single-cell profiling of the
transcriptome and 3D genome organization with high spatial resolution. Expanding the …

Abstract We previously reported Paired-Tag, a combinatorial indexing-based method that
can simultaneously map histone modifications and gene expression at single-cell resolution …