Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

Using sophisticated RNA sequencing technology, biomedical researchers can measure the activity of our genes across millions of single cells, creating detailed maps of tissues, organs, and diseases.

A major new review article led by researchers from the School of Mathematics at Harbin Institute of Technology has just been published in Quantitative Biology, offering a comprehensive comparison of ...

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Chimeric antigen receptor T cell (CAR-T) therapy is considered one of the landmark achievements of modern medicine. The therapy involves harvesting a patient’s own immune cells, genetically ...

In a single experiment, scientists can decipher the entire genomes of many patient samples, animal models, or cultured cells. To fully realize the potential to study biology at this unprecedented ...

From early research to quality control, maintaining analytical continuity is no easy task. Could a single sequencing workflow help simplify analytical assessment?

Cell-cell interaction data captures how cells influence one another and how those interactions shape biological function. While single-cell sequencing and spatial biology have tra ...

Roche launches AXELIOS 1, a transformative next-generation sequencing platform: Basel Tuesday, June 30, 2026, 10:00 Hrs [IST] Roche, a healthcare company, announced the launch of ...