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 ...

Genes are expressed when messenger RNA is made from DNA, which is then translated into proteins. Researchers use single-cell and bulk RNA-seq analysis to study gene expression, creating vast amounts ...

A new Northwestern Medicine study published in the Proceedings of the National Academy of Sciences has explored the impacts ...

A team of scientists led by the A*STAR Genome Institute of Singapore (A*STAR GIS) have released one of the world's largest and most comprehensive long-read RNA sequencing datasets, addressing a ...

Diagnostic performance of SHOX2 and RASSF1A gene methylation assays in malignant pleural effusion: A systematic review and meta-analysis. This is an ASCO Meeting Abstract from the 2025 ASCO Annual ...

RNA sequencing has emerged as a powerful supplement to DNA sequencing for Mendelian disease diagnosis, but clinical translation of diagnostic RNA-seq has not been widely achieved. Researchers at ...

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 ...

Virtual cell models that enable the prediction of cell behavior across scales and biological contexts are rapidly emerging at the forefront of drug discovery. Tom Sercu, PhD, vice president of AI and ...

Years of experiments and databases filled with RNA-seq results belie the simple reality that, until fairly recently, it was impossible to analyze RNA directly. The RNA-seq studies performed with ...

Announcing a new article publication in BIO Integration. The authors of this article developed CellDeathAnalysis (v0.4.0), an ...