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 ...

Single-cell sequencing is useful for a number of applications. For example, it can reveal cellular heterogeneity inside complex tissues, such as tumors. It can also provide information about how ...

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 ...

Scientists can peer into cells to get a limited view of their activity using microscopes and other tools. However, cells and the molecular events within them are dynamic, and developmental processes, ...

Creative Biolabs, a leader in single-cell resolution solutions, has announced the strategic enhancement of its ...

A new molecular recording strategy is giving researchers a way to capture DNA–protein interactions in single cells, including the weak and transient contacts that shape gene regulation but often slip ...