ArticleNucleic acids research2014
DriverDB: an exome sequencing database for cancer driver gene identification.
Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 3 of them syntheses that pooled it.
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Who cites it
55 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Application and prospect of organoid technology in breast cancer.Frontiers in immunology · 2024Pooled it
- Mitochondrial Acetyl-CoA Synthetase 3 is Biosignature of Gastric Cancer Progression.Cancer medicine · 2018Pooled it
- Computational Identification of Novel Stage-Specific Biomarkers in Colorectal Cancer Progression.PloS one · 2016Pooled it
- Impact of mutational profiles on response of primary oestrogen receptor-positive breast cancers to oestrogen deprivation.Nature communications · 2016Trial
- Comprehensive review of publicly accessible databases for gastrointestinal cancer and future challenges in database construction.Discover oncology · 2026Review
- Memory-promoting function of miR-379-5p attenuates CD8Journal for immunotherapy of cancer · 2025Article
- Dysregulated gene subnetworks in breast invasive carcinoma reveal novel tumor suppressor genes.Scientific reports · 2024Article
- Gigaxonin Suppresses Epithelial-to-Mesenchymal Transition of Human Cancer Through Downregulation of Snail.Cancer research communications · 2024Article
- DriverDBv4: a multi-omics integration database for cancer driver gene research.Nucleic acids research · 2024Article
- LRT-CLUSTER: A New Clustering Algorithm Based on Likelihood Ratio Test to Identify Driving Genes.Interdisciplinary sciences, computational life sciences · 2023Article
- DriverRWH: discovering cancer driver genes by random walk on a gene mutation hypergraph.BMC bioinformatics · 2022Article
- Article
- miR-4759 suppresses breast cancer through immune checkpoint blockade.Computational and structural biotechnology journal · 2022Article
- Using bioinformatics approaches to identify survival-related oncomiRs as potential targets of miRNA-based treatments for lung adenocarcinoma.Computational and structural biotechnology journal · 2022Article
- A pan-cancer analysis of GINS complex subunit 4 to identify its potential role as a biomarker in multiple human cancers.American journal of cancer research · 2022Article
- Integrative analysis reveals clinically relevant molecular fingerprints in pancreatic cancer.Molecular therapy. Nucleic acids · 2021Article
- Patient-Derived Organoids Can Guide Personalized-Therapies for Patients with Advanced Breast Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Article
- Systematic identification of clinically relevant miRNAs for potential miRNA-based therapy in lung adenocarcinoma.Molecular therapy. Nucleic acids · 2021Article
- Retroviral integrations contribute to elevated host cancer rates during germline invasion.Nature communications · 2021Article
- Using bioinformatics approaches to investigate driver genes and identify BCL7A as a prognostic gene in colorectal cancer.Computational and structural biotechnology journal · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Exome sequencing (exome-seq) has aided in the discovery of a huge amount of mutations in cancers, yet challenges remain in converting oncogenomics data into information that is interpretable and accessible for clinical care. We constructed DriverDB (http://ngs.ym.edu.tw/driverdb/), a database which incorporates 6079 cases of exome-seq data, annotation databases (such as dbSNP, 1000 Genome and Cosmic) and published bioinformatics algorithms dedicated to driver gene/mutation identification. We provide two points of view, 'Cancer' and 'Gene', to help researchers to visualize the relationships between cancers and driver genes/mutations. The 'Cancer' section summarizes the calculated results of driver genes by eight computational methods for a specific cancer type/dataset and provides three levels of biological interpretation for realization of the relationships between driver genes. The 'Gene' section is designed to visualize the mutation information of a driver gene in five different aspects. Moreover, a 'Meta-Analysis' function is provided so researchers may identify driver genes in customer-defined samples. The novel driver genes/mutations identified hold potential for both basic research and biotech applications.
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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.