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罗氏癌症基因组数据库(RCGDB)。

The Roche Cancer Genome Database (RCGDB).

机构信息

Roche Diagnostics GmbH, Pharma Research Scientific Informatics, Nonnenwald 2, Penzberg, Germany.

出版信息

Hum Mutat. 2010 Apr;31(4):407-13. doi: 10.1002/humu.21207.

DOI:10.1002/humu.21207
PMID:20127971
Abstract

Sequence variations are being studied for a better understanding of the mechanism and development of cancer as a mutation-driven disease. The systematic sequencing of genes in tumors and technological advances in high-throughput techniques combined with efficient data acquisition methods have resulted in an explosion of available cancer genome-related data. Despite the technological progress and increase of data, improvements in the application area, for example, drug target discovery, have failed to keep pace with increased research and development spending. One reason for this discrepancy is the ever increasing number of databases and the absence of a unified access to the mutation data. Currently, researchers typically have to browse several, often highly specialized databases to obtain the required information. A more complete understanding of relations and dependencies between mutations and cancer, however, requires the availability of an efficient integrative cancer genome information system. To facilitate this, we developed the Roche Cancer Genome Database (RCGDB), a freely available biological information system integrating different kinds of mutation data. The database is the first comprehensive integration of disparate cancer genome data like single nucleotide variants, single nucleotide polymorphisms, and chromosomal aberrations (CGH and FISH). RCGDB is freely accessible via a Google-like Web interface at http://rcgdb.bioinf.uni-sb.de/MutomeWeb/.

摘要

正在研究序列变异,以更好地了解癌症作为一种突变驱动疾病的机制和发展。肿瘤基因的系统测序和高通量技术的技术进步以及高效的数据采集方法相结合,导致了癌症基因组相关数据的爆炸式增长。尽管技术进步和数据增加,但应用领域的改进,例如药物靶点发现,未能跟上研究和开发支出的增加。造成这种差异的一个原因是数据库的数量不断增加,而突变数据缺乏统一的访问途径。目前,研究人员通常必须浏览几个,通常是高度专业化的数据库,以获取所需的信息。然而,要更全面地了解突变和癌症之间的关系和依赖关系,需要有一个高效的综合癌症基因组信息系统。为此,我们开发了罗氏癌症基因组数据库(RCGDB),这是一个免费提供的生物信息系统,整合了不同类型的突变数据。该数据库是第一个全面整合了不同癌症基因组数据的系统,如单核苷酸变异、单核苷酸多态性和染色体异常(CGH 和 FISH)。RCGDB 通过类似 Google 的 Web 界面免费访问,网址为 http://rcgdb.bioinf.uni-sb.de/MutomeWeb/。

相似文献

1
The Roche Cancer Genome Database (RCGDB).罗氏癌症基因组数据库(RCGDB)。
Hum Mutat. 2010 Apr;31(4):407-13. doi: 10.1002/humu.21207.
2
DigiPINS: a database for vertebrate exonic single nucleotide polymorphisms and its application to cancer association studies.DigiPINS:一个脊椎动物外显子单核苷酸多态性数据库及其在癌症关联研究中的应用。
Biochimie. 2008 Apr;90(4):563-9. doi: 10.1016/j.biochi.2007.09.017. Epub 2007 Sep 29.
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The Roche Cancer Genome Database 2.0.罗氏癌症基因组数据库 2.0。
BMC Med Genomics. 2011 May 17;4:43. doi: 10.1186/1755-8794-4-43.
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In silico whole-genome screening for cancer-related single-nucleotide polymorphisms located in human mRNA untranslated regions.在计算机上对位于人类mRNA非翻译区的癌症相关单核苷酸多态性进行全基因组筛选。
BMC Genomics. 2007 Jan 3;8:2. doi: 10.1186/1471-2164-8-2.
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Systematic analysis of genetic alterations in tumors using Cancer Genome WorkBench (CGWB).使用癌症基因组工作台(CGWB)对肿瘤中的基因改变进行系统分析。
Genome Res. 2007 Jul;17(7):1111-7. doi: 10.1101/gr.5963407. Epub 2007 May 24.
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Database resources for proteomics-based analysis of cancer.用于基于蛋白质组学的癌症分析的数据库资源。
Methods Mol Biol. 2011;723:349-64. doi: 10.1007/978-1-61779-043-0_22.
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Somatic mutation databases as tools for molecular epidemiology and molecular pathology of cancer: proposed guidelines for improving data collection, distribution, and integration.体细胞突变数据库作为癌症分子流行病学和分子病理学的工具:关于改进数据收集、分发和整合的拟议指南。
Hum Mutat. 2009 Mar;30(3):275-82. doi: 10.1002/humu.20832.
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CancerProView: a graphical image database of cancer-related genes and proteins.CancerProView:一个与癌症相关基因和蛋白质的图形图像数据库。
Genomics. 2012 Aug;100(2):81-92. doi: 10.1016/j.ygeno.2012.05.011. Epub 2012 May 31.
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CancerGenes: a gene selection resource for cancer genome projects.癌症基因:癌症基因组计划的基因选择资源。
Nucleic Acids Res. 2007 Jan;35(Database issue):D721-6. doi: 10.1093/nar/gkl811. Epub 2006 Nov 6.

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The Roche Cancer Genome Database 2.0.罗氏癌症基因组数据库 2.0。
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