A new spatial transcriptomic technology captures RNA patterns without requiring expensive imaging ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Biological systems are inherently three-dimensional—tissues form intricate layers, networks, and architectures where cells interact in ways that extend far beyond a flat plane. To capture the true ...

The Multi-Omics Data Analysis Core (MODAC) provides cutting-edge bioinformatics and multi-omics analysis and advanced data visualization for both translational and fundamental scientific research. Our ...

The Bioinformatics and Biostatistics Core is a collaborative center that provides investigators with bioinformatics expertise to analyze large molecular datasets and develop novel algorithms. We have ...

A new software tool, ovrlpy, improves quality control in spatial transcriptomics, a key technology in biomedical research. Developed by the Berlin Institute of Health at Charité (BIH) in international ...

Several prominent foundation models are employed to enhance our understanding of high-throughput biological data, followed by a discussion on the application of prediction and generation models across ...

PALO ALTO, Calif.--(BUSINESS WIRE)--Curio Bioscience today announced it has commenced commercial operations with the launch of Curio Seeker, the world’s first high-resolution, whole-transcriptome ...