期刊
NUCLEIC ACIDS RESEARCH
卷 42, 期 D1, 页码 D1048-D1054出版社
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkt1025
关键词
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资金
- National Science Council [NSC] [NSC101-2320-B-010-059-MY3, NSC101-2627-B-010-003, NSC101-2321-B-010-011]
- Veterans General Hospitals University System of Taiwan (VGHUST) Joint Research Program
- Tsou's Foundation [GHUST102-G7-3-2]
- National Health Research Institutes (NHRI) [NHRI-EX102-10254SI]
- Taipei Veteran General Hospital [DOH102-TD-C-111-007]
- Taipei City Hospital [10201-62-070]
- National Yang-Ming University [Ministry of Education, Aim for the Top University Plan]
- UST-UCSD International Center for Excellence in Advanced Bioengineering
- Taiwan NSC I-RiCE Program [NSC101-2911-I-009-101]
- NSC
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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