
Combining denoising of RNA-seq data and flux balance analysis for cluster analysis of single cells
Sophisticated methods to properly pre-process and analyze the increasing collection of single-cell RNA sequencing (scRNA-seq)…
Sophisticated methods to properly pre-process and analyze the increasing collection of single-cell RNA sequencing (scRNA-seq)…
A team led by researchers at the Wellcome-MRC Cambridge Stem Cell Institute has developed entropy…
Induced pluripotent stem cell (iPSC) derived cell types are increasingly employed as in vitro model…
With the emergence of single-cell RNA sequencing (scRNA-seq) technology, scientists are able to examine gene…
Single-cell/nuclei RNA-sequencing (scRNA-seq) technologies can simultaneously quantify gene expression in thousands of cells across the…
Transcriptional regulation is a fundamental mechanism underlying biological functions. In recent years, a broad array…
Transposable Elements (TEs) contribute to the repetitive fraction in almost every eukaryotic genome known to…
Genomic profiling using short-read sequencing has utility in detecting disease-associated variation in both DNA and…
Single-cell technologies have revolutionised biological research and applications. As they continue to evolve with multi-omics…
Single-cell RNA sequencing (scRNA-seq) data contain rich information at the gene, transcript, and nucleotide levels.…