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The analysis of single-cell RNA sequencing (scRNAseq) data plays an important role in understanding the intrinsic and extrinsic cellular processes in biological and biomedical research. One significant effort in this area is the detection of...

Like going from a pinhole camera to a Polaroid, a significant mathematical update to the formula for a popular bioinformatics data visualization method will...

Sometimes, analyzing our DNA sequences isn’t quite enough. RNA-seq is a next-generation sequencing (NGS)-based technique that looks at the RNA transcripts produced from our DNA, allowing us to...

Minnesota Supercomputing Institute – 04/02/19 The RNA-Seq analysis tutorials includes a lecture and a hands-on guided tutorial. The lecture materials cover the basics of differential expression analysis and...

For the first time, researchers have revealed the different molecular identities of important immune cells, called T regulatory cells using single cell genomics, in both mouse and human peripheral non-lymphoid tissues such as skin and colon...

Cellular lineage trees can be derived from single-cell RNA sequencing snapshots of differentiating cells. Currently, only datasets with simple topologies are available. To test and further develop tools for lineage tree reconstruction, we need test datasets with known complex topologies. ...

A team led by scientists at the Broad Institute, MIT, and Massachusetts General Hospital has developed a prototype device that uses microfluidics to sort cell types extracted from clinical samples for RNA sequencing. This platform allows us to isolate specific cell...

Oxford Nanopore has launched new ‘109’ cDNA Kits for its real-time, scalable sequencing technology. The new kits provide high throughput whilst generating complete sequences of full-length cDNA strands, with a low input option of just 1ng PolyA+ RNA. The new ...

RNA-sequencing analysis is increasingly utilized to study gene expression in non-model organisms without sequenced genomes. Aethionema arabicum (Brassicaceae) exhibits seed dimorphism as a...

From March 11-13, 2019, the NCBI will help run a bioinformatics hackathon in the North Carolina Research Triangle hosted by the University of North Carolina, Chapel Hill (UNC). Potential topics include: technical metadata homogenization a simple interface for using ontologies ...