SPAC: a scalable and integrated enterprise platform for single-cell spatial analysis
SPAC addresses major barriers in single-cell spatial analysis by uniting an intuitive, user-friendly interface with scalable, high-performance computation in a robust and reproducible framework. By streamlining complex analyses and bridging the gap between experimental and computational researchers, SPAC fosters collaborative workflows and accelerates the transformation of large-scale spatial datasets into actionable biological insights.
Authors
- George Zaki (ORCID: https://orcid.org/0000-0002-2740-3307)
- David A. Wink (ORCID: https://orcid.org/0000-0002-5652-7480)
- David A. Scheiblin (ORCID: https://orcid.org/0000-0002-5505-2540)
- Rui He (ORCID: https://orcid.org/0009-0006-7299-9089)
- Thomas Sheeley
- Janelle Cortner
- Lisa A. Ridnour
- Fang Liu
- Mark Jensen
- Stephen J. Lockett
Institutions
- National Institutes of Health (US)
- Purdue University West Lafayette (US)
- Essential Research (United States) (US)
- Frederick National Laboratory for Cancer Research (US)
- National Cancer Institute (US)
- Center for Cancer Research (US)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2026-01-29
- DOI
- https://doi.org/10.1186/s12859-025-06339-2
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00