Explore Cancer Copy Number Aberrations with CNAScope
CNAScope curates and functionally annotates over 3,954,361 CNA profiles and 3,946,319 metadata from 810 datasets, 174,464 samples, 3,018,672 single cells, and 764,232 spatial spots, spanning 77 cancer subtypes from 8 data sources and 55 cancer initiatives and institutions.
Focus
CNAScope Release Notes
Version 1.3 (2025-10-5): Data Expansion, Enrichment Analysis, and Platform Improvements
Expanded data sources with NCBI GEO, and Broad SCP, and additional single-cell/spatial datasets.
New Features:- Added pathway enrichment analysis with interactive plots;
- integrated spatial variability annotation via Moran's I for ST data;
- Bug Fixes.
Version 1.2 (2025-7-31): New Workflows for User-Driven Analysis
Added two workflows: Basic CNA Annotation and Recurrent CNA Annotation.- Features: Users can upload their own CNA matrices for annotation and recurrent CNA detection; provides interactive visualizations and downloadable results for analysis outputs.
- Enhancements: Streamlined user workspace for tracking and managing custom analyses.
Version 1.1 (2025-6-30): Data Expansion and UI Enhancements
Expanded data sources to include 10x Official, cBioPortal, COSMIC, HSCGD, scTML, and more. CNAScope now curates and functionally annotates over 334,187 CNA profiles and 286,812 metadata from 354 datasets, 97,203 samples, 71,009 single cells, and 118,600 spatial spots, spanning 82 cancer subtypes from 6 data sources and 55 cancer initiatives and institutions.- Updates: Optimized interface for better aesthetics and usability (e.g., responsive design, improved navigation).
- Performance: Enhanced data loading and visualization speed. Explore the expanded database!
Version 1.0 (2025-4-15): Initial Release: Welcome to CNAScope!
CNAScope launches with CNV data from GDC Portal's 52 projects.
Xikang Feng, Jieyi Zheng, Sisi Peng, Anna Jiang, Ka Ho Ng, Chengshang Lyu, Qiangguo Jin, Lingxi Chen, CNAScope: pan-cancer copy number aberration database with functional annotation and interactive visualization, Nucleic Acids Research, 2025;, gkaf1242, https://doi.org/10.1093/nar/gkaf1242