DriverDBv3: a multi-omics database for cancer driver gene research

被引：142

作者：

Liu, Shu-Hsuan ^{[1
]}

Shen, Pei-Chun ^{[1
]}

Chen, Chen-Yang ^{[2
]}

Hsu, An-Ni ^{[1
]}

Cho, Yi-Chun ^{[1
]}

Lai, Yo-Liang ^{[1
,3
]}

Chen, Fang-Hsin ^{[4
,5
,6
,7
]}

Li, Chia-Yang ^{[8
]}

Wang, Shu-Chi ^{[9
]}

Chen, Ming ^{[10
]}

Chung, I-Fang ^{[11
]}

Cheng, Wei-Chung ^{[1
,12
]}

机构：

[1] China Med Univ, Grad Inst Biomed Sci, Taichung 40403, Taiwan

[2] Cytoaurora Biotechnol Inc, Inc Hsinchu Sci Pk, Hsinchu 30261, Taiwan

[3] China Med Univ Hosp, Dept Radiat Oncol, Taichung 40403, Taiwan

[4] Chang Gung Univ, Dept Med Imaging & Radiol Sci, Taoyuan 33302, Taiwan

[5] Chang Gung Mem Hosp Linkou, Dept Radiat Oncol, Taoyuan 33302, Taiwan

[6] Chang Gung Univ, Inst Radiol Res, Taoyuan 33302, Taiwan

[7] Chang Gung Mem Hosp, Taoyuan 33302, Taiwan

[8] Kaohsiung Med Univ, Coll Med, Grad Inst Med, Kaohsiung 80708, Taiwan

[9] Kaohsiung Med Univ, Coll Hlth Sci, Dept Med Lab Sci & Biotechnol, Kaohsiung 80708, Taiwan

[10] Changhua Christian Hosp, Ctr Med Genet, Changhua 50006, Taiwan

[11] Natl Yang Ming Univ, Inst BioMed Informat, Taipei 11221, Taiwan

[12] China Med Univ, Res Ctr Tumor Med Sci, Taichung 40403, Taiwan

来源：

NUCLEIC ACIDS RESEARCH | 2020年 / 48卷 / D1期

关键词：

SMRNA-SEQ DATABASE; COEXPRESSION; PLATFORM;

D O I：

10.1093/nar/gkz964

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

An integrative multi-omics database is needed urgently, because focusing only on analysis of one-dimensional data falls far short of providing an understanding of cancer. Previously, we presented DriverDB, a cancer driver gene database that applies published bioinformatics algorithms to identify driver genes/mutations. The updated DriverDBv3 database (http://ngs.ym.edu.tw/driverdb) is designed to interpret cancer omics' sophisticated information with concise data visualization. To offer diverse insights into molecular dysregulation/dysfunction events, we incorporated computational tools to define CNV and methylation drivers. Further, four new features, CNV, Methylation, Survival, and miRNA, allow users to explore the relations from two perspectives in the 'Cancer' and `Gene' sections. The 'Survival' panel offers not only significant survival genes, but gene pairs synergistic effects determine. A fresh function, 'Survival Analysis' in 'Customized-analysis; allows users to investigate the co-occurring events in user-defined gene(s) by mutation status or by expression in a specific patient group. Moreover, we redesigned the web interface and provided interactive figures to interpret cancer omics' sophisticated information, and also constructed a Summary panel in the 'Cancer' and 'Gene' sections to visualize the features on multi-omics levels concisely. DriverDBv3 seeks to improve the study of integrative cancer omics data by identifying driver genes and contributes to cancer biology.

引用

页码：D863 / D870

页数：8

共 45 条

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