Methods

Tumor heterogeneity—the complex microenvironment of different cell subpopulations within a single tumor—remains a major challenge...

Functional circuits consist of neurons with diverse axonal projections and gene expression. Understanding the molecular signature of...

Pooling cells from multiple biological samples prior to library preparation within the same single-cell RNA sequencing experiment provides several advantages, including lower library preparation costs and...

The understanding of individual cells has enormously improved with the application of single-cell RNA-sequencing approaches, enabling researchers to...

Single-cell RNA sequencing (scRNA-seq) of the bronchial epithelium enables examination of cellular subtypes and their responses to viral infections. Researchers from the University of Southampton have...

Cellular identity in complex multicellular organisms is determined in part by the physical organization of cells. However, large-scale investigation of the...

BigOmics Analytics has launched the web-based version of the Omics Playground, an extremely user-friendly platform that allows non-coders to analyse RNA-Seq, scRNA-seq, microarray and proteomics data types. Through it users can perform basic analysis, including sample clustering, pairwise...

There is no effective way to detect structure variations (SVs) and extra-chromosomal circular DNAs (ecDNAs) at single-cell whole-genome level. Researchers from Peking University have developed...

Though transcriptomics technologies evolve rapidly in the past decades, integrative analysis of mixed data between microarray and RNA-seq remains...

Researchers from the University of Washington introduce “sci-Space,” a new approach to spatial transcriptomics that can retain single-cell resolution and spatial heterogeneity at scales much larger...