Abstract CellMarker 2.0 (http://bio-bigdata. hrbmu. edu. cn/CellMarker or http://117.50.
127.228/CellMarker/) is an updated database that provides a manually curated collection of …

One of the most fundamental questions in biology is what types of cells form different tissues
and organs in a functionally coordinated fashion. Larger-scale single-cell sequencing and …

Identification of cell populations often relies on manual annotation of cell clusters using
established marker genes. However, the selection of marker genes is a time-consuming …

The advent of single-cell sequencing started a new era of transcriptomic and genomic
research, advancing our knowledge of the cellular heterogeneity and dynamics. Cell type …

The momentum of scRNA-seq datasets prompts for simple and powerful tools exploring their
meaningful signatures. Here we present Single-Cell_Signature_Explorer (https://sites …

Single-cell RNA sequencing (scRNA-seq) has become a powerful tool for scientists of many
research disciplines due to its ability to elucidate the heterogeneous and complex cell-type …

Single-cell RNASeq (scRNASeq) has emerged as a powerful method for quantifying the
transcriptome of individual cells. However, the data from scRNASeq experiments is often …

Background Single cell RNA sequencing (scRNAseq) has provided invaluable insights into
cellular heterogeneity and functional states in health and disease. During the analysis of …

Single-cell RNA sequencing (scRNA-Seq) is rapidly becoming a powerful tool for high-
throughput transcriptomic analysis of cell states and dynamics at the single cell level. Both …

Single-cell transcriptomics (SCT) is a tour de force in the era of big omics data that has led to
the accumulation of massive cellular transcription data at an astounding resolution of single …