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.

The collaboration combines multimodal database technology, advanced AI agents, and large-scale datasets to accelerate drug discovery. SAN FRANCISCO, Sept. 30, 2025 /PRNewswire/ — TileDB, Inc., Kepler ...

Researchers increasingly turn to single-cell sequencing to answer a range of biological questions, with published single-cell data increasing year over year. As its popularity rises, so does the need ...

The world of cells is surprisingly noisy. Each cell carries unique genetic information, but when we try to measure cellular activity, signals can be lost or blurred, and differences between ...

Single-cell transcriptomics data from mouse bone-relevant cells was used to inform human bone mineral density genome-wide association studies and prioritize genetic targets with potential causal roles ...

(Vienna, 11 November 2025) Using sophisticated RNA sequencing technology, biomedical researchers can measure the activity of our genes across millions of single cells, creating detailed maps of ...

Scientists at the Icahn School of Medicine at Mount Sinai, in partnership with the Multiple Myeloma Research Foundation (MMRF) and in collaboration with leading institutions across the country, have ...

In single-cell data analysis, both technical noise (introduced during measurement) and batch noise (arising from differences in experimental conditions or equipment) can obscure true cellular ...

Capturing spatial information is essential to elucidate how cells function and interact within their native tissue environment. However, the initial spatial transcriptomics techniques have several ...

Researchers from the National University of Singapore (NUS) have developed CellScope, a high-performance single-cell analysis ...