ArticleBioinformatics (Oxford, England)2023
CoMutDB: the landscape of somatic mutation co-occurrence in cancers.
Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- CBC3T-3: a novel patient-derived cisplatin-resistant distal cholangiocarcinoma cell line harboring multiple TP53 missense mutations.Human cell · 2026Article
- OncoBERT: Context-Aware Modeling of Somatic Mutations for Precision Oncology.bioRxiv : the preprint server for biology · 2026Article
- Multi-omics strategies for biomarker discovery and application in personalized oncology.Molecular biomedicine · 2025Review
- IMOP-Cancer: identifying mutation order pairs impacting cancer phenotypes.Briefings in bioinformatics · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
motivationSomatic mutation co-occurrence has been proven to have a profound effect on tumorigenesis. While some studies have been conducted on co-mutations, a centralized resource dedicated to co-mutations in cancer is still lacking.
resultsUsing multi-omics data from over 30 000 subjects and 1747 cancer cell lines, we present the Cancer co-mutation database (CoMutDB), the most comprehensive resource devoted to describing cancer co-mutations and their characteristics. AVAILABILITY AND IMPLEMENTATION: The data underlying this article are available in the online database CoMutDB: http://www.innovebioinfo.com/Database/CoMutDB/Home.php.
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Registered trials
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