期刊
NUCLEIC ACIDS RESEARCH
卷 44, 期 D1, 页码 D975-D979出版社
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkv1314
关键词
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资金
- Ministry of Science and Technology (MOST) [104-2221-E-010-012, 104-2320-B-039-053]
- China Medical University, Taiwan [CMU104-N-14]
- National Yang-Ming University, Taiwan from the Ministry of Education, Aim for the Top University Plan
- Ministry of Science and Technology in Taiwan
We previously presented DriverDB, a database that incorporates similar to 6000 cases of exome-seq data, in addition to annotation databases and published bioinformatics algorithms dedicated to driver gene/mutation identification. The database provides two points of view, 'Cancer' and 'Gene', to help researchers visualize the relationships between cancers and driver genes/mutations. In the updated DriverDBv2 database (http://ngs.ym.edu.tw/driverdb) presented herein, we incorporated >9500 cancer-related RNA-seq datasets and >7000 more exome-seq datasets from The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC), and published papers. Seven additional computational algorithms (meaning that the updated database contains 15 in total), which were developed for driver gene identification, are incorporated into our analysis pipeline, and the results are provided in the 'Cancer' section. Furthermore, there are two main new features, 'Expression' and 'Hotspot', in the 'Gene' section. 'Expression' displays two expression profiles of a gene in terms of sample types and mutation types, respectively. 'Hotspot' indicates the hotspot mutation regions of a gene according to the results provided by four bioinformatics tools. A new function, 'Gene Set', allows users to investigate the relationships among mutations, expression levels and clinical data for a set of genes, a specific dataset and clinical features.
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