"Big Data" for Breast Cancer: Where to look and what you will find.
"Big Data" for Breast Cancer: Where to look and what you will find.
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DOI：
10.1038/npjbcancer.2016.31
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发表时间：
2016
影响因子：
5.9
通讯作者：
Shaw PL
中科院分区：
文献类型：
--
作者：
Clare SE;Shaw PL
目前公开的大量乳腺癌数据可能会让新的研究生开始他/她的第一个项目，甚至是经验丰富的实验室领导者，他们可能希望探索一种新的研究途径。在这篇综述中，我们提供了一个数据资源的概述，重点是高通量数据和癌症相关的数据资源。虽然本审查报告所载资料并非详尽无遗的清单，但它将提供一个起点，说明各种感兴趣的数据资源，并提供这些资源的链接。该综述分为六个部分：（1）数据资源概要;（2）生物分子库“中心”;（3）癌症相关数据资源列表，提供有关资源内容的信息以及资源是否能够上传和分析研究者提供的数据;（4）包含特定乳腺癌数据的开创性出版物列表，例如，来自METBRIC、桑格、TCGA的出版物;（5）专注于数据科学的期刊列表，包括癌症相关的“大数据”;以及（6）杂项资源。
Accessing the massive amount of breast cancer data that are currently publicly available may seem daunting to the brand new graduate student embarking on his/her first project or even to the seasoned lab leader, who may wish to explore a new avenue of investigation. In this review, we provide an overview of data resources focusing on high-throughput data and on cancer-related data resources. Although not intended as an exhaustive list, the information included in this review will provide a jumping-off point with descriptions of and links to the various data resources of interest. The review is divided into six sections: (1) compendia of data resources; (2) biomolecular repository “Hubs”; (3) a list of cancer-related data resources, which provides information on contents of the resource and whether the resource enables upload and analysis of investigator provided data; (4) a list of seminal publications containing specific breast cancer data, e.g., publications from METBRIC, Sanger, TCGA; (5) a list of journals focused on data science that include cancer-related “Big Data”; and (6) miscellaneous resources.