ArticleNucleic acids research2026
CNAScope: pan-cancer copy number aberration database with functional annotation and interactive visualization.
Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- A gated task-attentive multi-task network for unified retinal image analysis.Scientific reports · 2026Article
- Wogonin-Loaded PLGA Sustained-Release Nanomicelle Inhibiting EGFR Pathway for Antitumor Effects in OSCC.ACS omega · 2026Article
- CRESCENT: a deep learning framework with multi-scale attention for detecting recurrent copy number alterations.Briefings in bioinformatics · 2026Article
- The 2026 Nucleic Acids Research database issue and the online molecular biology database collection.Nucleic acids research · 2026Article
- Recent advances in metabolic engineering of Escherichia coli for riboflavin biosynthesis.World journal of microbiology & biotechnology · 2025Review
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Authors and funding
8 authors.
Funding
Abstract
Copy number aberrations (CNAs) are critical drivers of genomic diversity in oncology, where recurrent CNAs frequently underlie tumorigenesis. However, existing public resources are limited in their somatic CNA specificity, breadth across multiple data modalities, and support for recurrent CNAs with online functional annotation and interactive visualization. Here, we present CNAScope (https://cna.fengslab.com/), a database that 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 cells/spots, spanning 77 cancer subtypes from eight data sources and 55 cancer initiatives and institutions. CNAScope offers downloadable CNA annotations and interactive visualizations at bin, gene, and pathway term levels, including phylogenetic inference, clustering, dimension reduction, and focal/consensus CNA detection. Users can explore data through interactive heatmaps, phylogenetic trees, embedding plots, CN charts, and focal/consensus plots, or upload and annotate their own CNAs in real time. In all, with its large curated data volume and rich annotation capabilities, CNAScope serves as a vital resource for accelerating cancer research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.