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URL: https://cells-test.gi.ucsc.edu/cytoverse/
Proper Citation: CytoVerse (RRID:SCR_028854)
Description: Web application to map single-cell RNA data into AI foundation model spaces. Lets search millions of reference cells and view cell types locally without uploading private data or needing powerful cloud servers. Using ONNX model deployment and compressed IVFPQ indexing, it annotates local datasets against a 23-million-cell reference without server computation, installation, or data upload, and shares embeddings as lightweight files, enabling private, interactive, and collaborative single-cell analysis.
Resource Type: data access protocol, data analysis software, data processing software, data visualization software, software application, software resource, web service
Defining Citation: PMID:41659670
Keywords: single-cell RNA-seq, foundation models, browser based analysis, WebAssembly, ONNX, scFM, approximate nearest neighbors, latent space collaboration, data privacy,
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
