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基于网络的 TCGA 数据变异分析工具/数据库的调查与评估。

A survey and evaluation of Web-based tools/databases for variant analysis of TCGA data.

机构信息

Beijing Institute of Radiation Medicine, Beijing 100850, China.

出版信息

Brief Bioinform. 2019 Jul 19;20(4):1524-1541. doi: 10.1093/bib/bby023.

Abstract

The Cancer Genome Atlas (TCGA) is a publicly funded project that aims to catalog and discover major cancer-causing genomic alterations with the goal of creating a comprehensive 'atlas' of cancer genomic profiles. The availability of this genome-wide information provides an unprecedented opportunity to expand our knowledge of tumourigenesis. Computational analytics and mining are frequently used as effective tools for exploring this byzantine series of biological and biomedical data. However, some of the more advanced computational tools are often difficult to understand or use, thereby limiting their application by scientists who do not have a strong computational background. Hence, it is of great importance to build user-friendly interfaces that allow both computational scientists and life scientists without a computational background to gain greater biological and medical insights. To that end, this survey was designed to systematically present available Web-based tools and facilitate the use TCGA data for cancer research.

摘要

癌症基因组图谱 (TCGA) 是一个由公共资金资助的项目,旨在对致癌基因组改变进行编目和发现,目标是创建一个全面的癌症基因组图谱。这些全基因组信息的提供为我们扩展肿瘤发生的知识提供了前所未有的机会。计算分析和挖掘经常被用作探索这一系列复杂的生物和生物医学数据的有效工具。然而,一些更先进的计算工具通常很难理解或使用,从而限制了那些没有强大计算背景的科学家的应用。因此,构建用户友好的界面非常重要,这些界面允许有计算背景和没有计算背景的计算科学家和生命科学家都能获得更深入的生物学和医学见解。为此,本调查旨在系统地介绍现有的基于网络的工具,并促进使用 TCGA 数据进行癌症研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4eb/6781580/0f64a9920a01/bby023f1.jpg

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