
CellSTAR – a comprehensive resource for single-cell transcriptomic annotation
Large-scale studies of single-cell sequencing and biological experiments have successfully revealed expression patterns that distinguish…
Large-scale studies of single-cell sequencing and biological experiments have successfully revealed expression patterns that distinguish…
Alternative polyadenylation is a main driver of transcriptome diversity in mammals, generating transcript isoforms with…
Novel methods that combine single cell RNA-seq with CRISPR screens enable high-throughput characterization of transcriptional…
Researchers at the Johns Hopkins University have developed ORFanage, a system designed to assign open…
Long-read RNA sequencing is essential to produce accurate and exhaustive annotation of eukaryotic genomes. Despite…
Automatic cell type annotation methods are increasingly used in single-cell RNA sequencing (scRNA-seq) analysis due…
Undoubtedly, single-cell RNA sequencing (scRNA-seq) has changed the research landscape by providing insights into heterogeneous,…
RNA-seq followed by de novo transcriptome assembly has been a transformative technique in biological research…
Single-cell RNA-sequencing (scRNA-seq) technology enables researchers to investigate a genome at the cellular level with…
Shandong University researchers have developed DeepBIO, the first-of-its-kind automated and interpretable deep-learning platform for high-throughput…