If you’ve ever tried reusing single-cell datasets from public databases, you’ve probably realized it’s not as plug-and-play as it sounds. What starts as “just download and analyze” can quickly turn into hours of figuring out inconsistent cell labels, missing metadata, or mysterious preprocessing steps.  In this post, we’ll share 5 common pitfalls  we’ve run into (and seen others face) when working with public single-cell data - and a few tips to make the process a lot smoother. But first,...

SAN DIEGO, CA, UNITED STATES, July 23, 2025 -- Pythia Biosciences and TOMY Digital Biology today announced a strategic partnership to bring the C-DIAM Multi-Omics Studio—a cutting-edge analytics platform for single-cell and multi-omics data—to researchers across Japan. This collaboration aims to advance next-generation omics research and empower the Japanese scientific community with intuitive, high-performance data analysis tools.

The Collaboration Problem Seurat (for R users) and Scanpy (for Python folks) have long been favorites for analyzing single-cell RNA-seq...