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Lotfollahi, M. ; Bright, C. ; Skorobogat, R. ; Dehkordi, M.M. ; George, X. ; Richter, S. ; Shitov, V.A. ; Topalova, A. ; Melcher, H. ; Nussbaumer, N. ; Fomm, A. ; Luecken, M. ; Theis, F.J.

ArchMap is a web-based platform for reference-based analysis of single-cell datasets.

Nat. Genet., DOI: 10.1038/s41588-026-02756-y (2026)
Publ. Version/Full Text Research data DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
Leveraging single-cell reference atlases to analyze new data has brought about a paradigm shift in single-cell data science akin to the first reference genome in genomics. However, methods for performing this mapping require computational expertise and, oftentimes, considerable compute power, limiting access for researchers who may benefit the most. Here ArchMap, a no-code query-to-reference mapping tool, removes this barrier by providing all-in-one automated mapping, cell-type annotation and collaborative features to analyze single-cell datasets from a wide range of integrated, often published, reference atlases and allows the extension of atlases with the growing Human Cell Atlas and related efforts. This paves the way for a democratization of reference mapping capabilities.
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Publication type Article: Journal article
Document type Scientific Article
ISSN (print) / ISBN 1061-4036
e-ISSN 1546-1718
Journal Nature Genetics
Publisher Nature Publishing Group
Publishing Place New York, NY
Reviewing status Peer reviewed
Institute(s) Institute of Computational Biology (ICB)
Institute of Lung Health and Immunity (LHI)