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BCNTB 生物信息学:乳腺癌组织库生物信息学的下一个发展阶段。

BCNTB bioinformatics: the next evolutionary step in the bioinformatics of breast cancer tissue banking.

机构信息

Bioinformatics Unit, Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University London, London EC1M 6BQ, UK.

Centre for Computational Biology, Life Sciences Initiative, Queen Mary University London.

出版信息

Nucleic Acids Res. 2018 Jan 4;46(D1):D1055-D1061. doi: 10.1093/nar/gkx913.

Abstract

Here, we present an update of Breast Cancer Now Tissue Bank bioinformatics, a rich platform for the sharing, mining, integration and analysis of breast cancer data. Its modalities provide researchers with access to a centralised information gateway from which they can access a network of bioinformatic resources to query findings from publicly available, in-house and experimental data generated using samples supplied from the Breast Cancer Now Tissue Bank. This in silico environment aims to help researchers use breast cancer data to their full potential, irrespective of any bioinformatics barriers. For this new release, a complete overhaul of the IT and bioinformatic infrastructure underlying the portal has been conducted and a host of novel analytical modules established. We developed and adopted an automated data selection and prioritisation system, expanded the data content and included tissue and cell line data generated from The Cancer Genome Atlas and the Cancer Cell Line Encyclopedia, designed a host of novel analytical modalities and enhanced the query building process. Furthermore, the results are presented in an interactive format, providing researchers with greater control over the information on which they want to focus. Breast Cancer Now Tissue Bank bioinformatics can be accessed at http://bioinformatics.breastcancertissuebank.org/.

摘要

在这里,我们介绍了 Breast Cancer Now Tissue Bank 生物信息学的更新,这是一个丰富的平台,用于共享、挖掘、整合和分析乳腺癌数据。它的模式为研究人员提供了一个集中的信息门户,他们可以从该门户访问一系列生物信息学资源,查询来自公开可用、内部和使用 Breast Cancer Now Tissue Bank 提供的样本生成的实验数据的发现。这个虚拟环境旨在帮助研究人员充分利用乳腺癌数据,而不受任何生物信息学障碍的影响。在这个新版本中,我们对门户的基础 IT 和生物信息学基础设施进行了全面检修,并建立了许多新的分析模块。我们开发并采用了一种自动的数据选择和优先级系统,扩展了数据内容,并包括了来自 The Cancer Genome Atlas 和 Cancer Cell Line Encyclopedia 的组织和细胞系数据,设计了许多新的分析模式,并增强了查询构建过程。此外,结果以交互格式呈现,为研究人员提供了对他们想要关注的信息更大的控制。可以通过 http://bioinformatics.breastcancertissuebank.org/ 访问 Breast Cancer Now Tissue Bank 生物信息学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d3b/5753182/59b896a2bbf5/gkx913fig1.jpg

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