Data Sets

Imagine a virtual human body, rich in complexity and detail, that enables scientists to simulate experiments that can’t be conducted in vivo or...

Single-cell transcriptomics has allowed unprecedented resolution of cell types/states in the human lung, but their spatial context is less well...

Late prenatal development of the human neocortex encompasses a critical period of cortical expansion and glial development (cells that are essential to the central nervous system), which is poorly understood...

Single-cell atlases promise to provide a ‘missing link’ between genes, diseases and therapies. By identifying the specific cell types, states, programs and contexts where disease-implicated genes act...

Transcribed RNAs undergo various regulation and modification to become functional transcripts. Notably, cancer transcriptome has not been fully characterized at transcript resolution. Researchers at the Shanghai Jiao Tong University School of Medicine carried out a reference-based transcript assembly across >1000 ...

Recent studies have disclosed the genome, transcriptome, and epigenetic compositions of severe acute respiratory syndrome coronavirus...

Non-coding RNAs (ncRNAs) play important roles in regulating expression of protein-coding genes. Although gene expression databases have emerged in a timely manner, a comprehensive expression...

Transcriptional heterogeneity among malignant cells of a tumor has been studied in individual cancer types and shown to be organized into cancer cell states; however, it remains unclear to what extent these states span tumor types, constituting general features of ...

Single-cell RNA-seq (scRNA-seq) is a powerful genomics technology to interrogate the cellular composition and behaviors of complex systems. While the number of scRNA-seq datasets and available computational analysis tools have grown...

Alzheimer’s disease wreaks unmistakable havoc in the brain. If you compare the brain of someone who has died from neurodegenerative disease to that of...