Add to ORKGThe more than 1000 single-cell transcriptomics studies that have been published to date constitute a valuable and vast resource for biological discovery. While various ‘atlas’ projects have collated some of the associated datasets, most questions related to specific tissue types, species or other attributes of studies require identifying papers through manual and challenging literature search. To facilitate discovery with published single-cell transcriptomics data, we have assembled a near exhaustive, manually curated database of single-cell transcriptomics studies with key information: descriptions of the type of data and technologies used, along with descriptors of the biological systems studied. Additionally, the database contains summar...
High throughput single cell sequencing has seen exciting developments in recent years. With its high...
Droplet-based single-cell transcriptome sequencing (scRNA-seq) technology can measure the gene expre...
AbstractThe rapid growth of single-cell RNA-seq studies (scRNA-seq) demands efficient data storage, ...
Two publications in the current issue of Cell introduce novel methods for high-throughput single-cel...
Single-cell RNA sequencing (scRNA-seq) technology has recently emerged as a powerful tool for survey...
Single-cell RNA sequencing (scRNA-seq) technology has recently emerged as a powerful tool for survey...
Single-cell omics technologies provide biologists with a new dimension for systematically dissecting...
Recent technological advances have enabled unprecedented insight into transcriptomics at the level o...
BACKGROUND: Single-cell genomics is an approach to investigate cell heterogeneity and to identify ne...
BACKGROUND: Single-cell genomics is an approach to investigate cell heterogeneity and to identify ne...
BACKGROUND: Single-cell genomics is an approach to investigate cell heterogeneity and to identify ne...
Single-cell genomics is the study of cellular uniqueness utilizing omics methodologies. While being ...
Droplet-based single-cell transcriptome sequencing (scRNA-seq) technology can measure the gene expre...
Droplet-based single-cell transcriptome sequencing (scRNA-seq) technology can measure the gene expre...
Single-cell RNA sequencing (scRNA-Seq) is rapidly becoming a powerful tool for high-throughput trans...
High throughput single cell sequencing has seen exciting developments in recent years. With its high...
Droplet-based single-cell transcriptome sequencing (scRNA-seq) technology can measure the gene expre...
AbstractThe rapid growth of single-cell RNA-seq studies (scRNA-seq) demands efficient data storage, ...
Two publications in the current issue of Cell introduce novel methods for high-throughput single-cel...
Single-cell RNA sequencing (scRNA-seq) technology has recently emerged as a powerful tool for survey...
Single-cell RNA sequencing (scRNA-seq) technology has recently emerged as a powerful tool for survey...
Single-cell omics technologies provide biologists with a new dimension for systematically dissecting...
Recent technological advances have enabled unprecedented insight into transcriptomics at the level o...
BACKGROUND: Single-cell genomics is an approach to investigate cell heterogeneity and to identify ne...
BACKGROUND: Single-cell genomics is an approach to investigate cell heterogeneity and to identify ne...
BACKGROUND: Single-cell genomics is an approach to investigate cell heterogeneity and to identify ne...
Single-cell genomics is the study of cellular uniqueness utilizing omics methodologies. While being ...
Droplet-based single-cell transcriptome sequencing (scRNA-seq) technology can measure the gene expre...
Droplet-based single-cell transcriptome sequencing (scRNA-seq) technology can measure the gene expre...
Single-cell RNA sequencing (scRNA-Seq) is rapidly becoming a powerful tool for high-throughput trans...
High throughput single cell sequencing has seen exciting developments in recent years. With its high...
Droplet-based single-cell transcriptome sequencing (scRNA-seq) technology can measure the gene expre...
AbstractThe rapid growth of single-cell RNA-seq studies (scRNA-seq) demands efficient data storage, ...