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Web Server GliomaDB: A Web Server for Integrating Glioma Omics Data and Interactive Analysis

机译:Web服务器GLIOMADB:用于集成胶质瘤OMICS数据和交互式分析的Web服务器

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Gliomas are one of the most common types of brain cancers. Numerous efforts have been devoted to studying the mechanisms of glioma genesis and identifying biomarkers for diagnosis and treatment. To help further investigations, we present a comprehensive database named GliomaDB. GliomaDB includes 21,086 samples from 4303 patients and integrates genomic, transcriptomic, epigenomic, clinical, and gene-drug association data regarding glioblastoma multiforme (GBM) and low-grade glioma (LGG) from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), the Chinese Glioma Genome Atlas (CGGA), the Memorial Sloan Kettering Cancer Center Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT), the US Food and Drug Administration (FDA), and PharmGKB. GliomaDB offers a user-friendly interface for two main types of functionalities. The first comprises queries of (i) somatic mutations, (ii) gene expression, (iii) microRNA (miRNA) expression, and (iv) DNA methylation . In addition, queries can be executed at the gene, region, and base level. Second, GliomaDB allows users to perform survival analysis , coexpression network visualization, multi-omics data visualization, and targeted drug recommendations based on personalized variations . GliomaDB bridges the gap between glioma genomics big data and the delivery of integrated information for end users, thus enabling both researchers and clinicians to effectively use publicly available data and empowering the progression of precision medicine in glioma. GliomaDB is freely accessible at http://bigd.big.ac.cn/gliomaDB .
机译:胶质瘤是最常见的脑癌类型之一。已经致力于研究胶质瘤成因和鉴定生物标志物进行诊断和治疗的许多努力。为了帮助进一步调查,我们提供了一个名为Gliomadb的全面数据库。 GliomaDB包括来自4303名患者的21,086个样品,并将基因组,转录组,表观胶质组,临床和基因 - 药物结合数据与来自癌症基因组Atlas(TCGA),基因表达综合( Geo),中国胶质瘤基因组地图集(​​CGGA),纪念Sloan kettering癌症中心综合突变分析可行的癌症靶标(MSK-Impact),美国食品和药物管理局(FDA)和PharmgKB。 GliomaDB为两个主要功能类型提供用户友好的界面。首先包括(i)体细胞突变,(ii)基因表达,(iii)microRNA(miRNA)表达,和(iv)DNA甲基化的疑问。此外,可以在基因,区域和基础上执行查询。其次,GLIOMADB允许用户根据个性化变体进行生存分析,共存网络可视化,多OMICS数据可视化和有针对性的药品推荐。 GLIOMADB桥接胶质瘤基因组学的大数据和终端用户综合信息的差距,从而使研究人员和临床医生能够有效地使用公开的数据并赋予胶质瘤精密药物的进展。 Gliomadb可在http://bigd.big.ac.cn/lliomadb上自由访问。

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