Cancer Genome Analysis Informatics
Cancer Genome Analysis Informatics
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DOI：
10.1007/978-1-60327-367-1_5
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发表时间：
2010-01-01
期刊：
影响因子：
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通讯作者：
Barrett, Ian P.
中科院分区：
文献类型：
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作者：
Barrett, Ian P.
癌症基因组的分析得益于技术的进步，这些进步使数据能够以前所未有的规模生成，以越来越高的分辨率描述肿瘤基因组的序列和组成，并降低成本。随着下一代测序方法被应用于癌症基因组研究，以及大规模的努力，如癌症基因组图谱和最近宣布的国际癌症基因组联盟的努力，以补充那些已经建立的，如桑格研究所癌症基因组计划，这种进展可能会在未来几年进一步增加。这对癌症研究人员和研究界提出了挑战，包括分析自己项目中产生的数据以及协调和询问公开数据。这篇综述的目的是提供一个简要的概述，目前可用的一些主要的信息学资源和它们的使用，以及一些信息学的方法，可能会应用于癌症基因组的研究。
The analysis of cancer genomes has benefited from the advances in technology that enable data to be generated on an unprecedented scale, describing a tumour genome's sequence and composition at increasingly high resolution and reducing cost. This progress is likely to increase further over the coming years as next-generation sequencing approaches are applied to the study of cancer genomes, in tandem with large-scale efforts such as the Cancer Genome Atlas and recently announced International Cancer Genome Consortium efforts to complement those already established such as the Sanger Institute Cancer Genome Project. This presents challenges for the cancer researcher and the research community in general, in terms of analysing the data generated in one's own projects and also in coordinating and interrogating data that are publicly available. This review aims to provide a brief overview of some of the main informatics resources currently available and their use, and some of the informatics approaches that may be applied in the study of cancer genomes.