In a paper published in SCIENCE CHINA Life Science, an international team of scientists provided a comprehensive overview of ...

Researchers have amassed vast single-cell gene expression databases to understand how the smallest details impact human ...

A machine learning algorithm has been developed to deliver more accurate results from single-cell gene expression database analysis.

Both methods combine antibody-oligonucleotides with existing single-cell RNA-sequencing (scRNA-seq) approaches to measure the expression levels of genes and cell-surface proteins in individual cells.

RNA sequencing refers to techniques used to determine the sequence of RNA molecules. It includes high-throughput shotgun sequencing of cDNA molecules obtained by reverse transcription from RNA ...

To comprehend how even the smallest details affect human biology, researchers have compiled enormous single-cell gene expression databases.

Iowa State University scientists have made a significant breakthrough in scientists' ability to identify specific proteins ...

Illumina has begun rolling out a series of updates to its top-of-the-line DNA sequencer models, with the goal of making the ...

A powerful, new framework called "Annotatability" has been developed by researchers at the Hebrew University of Jerusalem to address a major challenge in biological research -- identifying mismatches ...

During the development of the olfactory epithelium (OE), olfactory sensory neurons (OSNs) express only one member of the odorant receptor (OR) gene family, and O ...

St. Jude bioinformaticists created a machine-learning algorithm capable of scaling with these single-cell data repositories ...