PSCS: Unified Sharing of Single-Cell Omics Data, Analyses, and Results.
Publication Year:
2025
PubMed ID:
40748336
Funding Grants:
Public Summary:
Analyzing individual cells generates a massive amount of complex data that usually requires advanced coding skills to understand, making it incredibly difficult for scientists to share or double-check each other's work. To fix this, researchers built a user-friendly website that allows anyone to run these complex analyses using visual tools instead of code. By packaging the raw data, the exact analysis steps, and the final interactive charts into one easily shareable file, this new platform makes single-cell science much more accessible and trustworthy for the global medical community.
Scientific Abstract:
Single-cell omics data analyses are complicated to design and difficult to distribute or reproduce. We present a web platform that enables no-code analysis pipeline design, computing, and the sharing of entire data analysis pipelines, their input data, and interactive results as a unit. We expect this platform to improve the accessibility and reproducibility of single-cell omics.