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GEPIA:一个用于癌症和正常基因表达谱分析及交互式分析的网络服务器。

GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses.

机构信息

BIOPIC, School of Life Sciences, Peking University, Beijing 100871, China.

Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.

出版信息

Nucleic Acids Res. 2017 Jul 3;45(W1):W98-W102. doi: 10.1093/nar/gkx247.


DOI:10.1093/nar/gkx247
PMID:28407145
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5570223/
Abstract

Tremendous amount of RNA sequencing data have been produced by large consortium projects such as TCGA and GTEx, creating new opportunities for data mining and deeper understanding of gene functions. While certain existing web servers are valuable and widely used, many expression analysis functions needed by experimental biologists are still not adequately addressed by these tools. We introduce GEPIA (Gene Expression Profiling Interactive Analysis), a web-based tool to deliver fast and customizable functionalities based on TCGA and GTEx data. GEPIA provides key interactive and customizable functions including differential expression analysis, profiling plotting, correlation analysis, patient survival analysis, similar gene detection and dimensionality reduction analysis. The comprehensive expression analyses with simple clicking through GEPIA greatly facilitate data mining in wide research areas, scientific discussion and the therapeutic discovery process. GEPIA fills in the gap between cancer genomics big data and the delivery of integrated information to end users, thus helping unleash the value of the current data resources. GEPIA is available at http://gepia.cancer-pku.cn/.

摘要

大量的 RNA 测序数据已经由 TCGA 和 GTEx 等大型联盟项目产生,为数据挖掘和深入了解基因功能创造了新的机会。虽然某些现有的网络服务器具有价值且被广泛使用,但实验生物学家所需的许多表达分析功能仍未得到这些工具的充分解决。我们引入了 GEPIA(基因表达谱分析交互式分析),这是一个基于 TCGA 和 GTEx 数据的基于网络的工具,提供快速和可定制的功能。GEPIA 提供了关键的交互式和可定制功能,包括差异表达分析、分析绘图、相关性分析、患者生存分析、相似基因检测和降维分析。通过 GEPIA 只需点击几下即可进行全面的表达分析,极大地促进了广泛研究领域的数据挖掘、科学讨论和治疗发现过程。GEPIA 填补了癌症基因组大数据与向最终用户提供综合信息之间的空白,从而帮助释放当前数据资源的价值。GEPIA 可在 http://gepia.cancer-pku.cn/ 上获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d960/5570223/bdec5f423865/gkx247fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d960/5570223/40273bb2f79b/gkx247fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d960/5570223/bdec5f423865/gkx247fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d960/5570223/40273bb2f79b/gkx247fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d960/5570223/bdec5f423865/gkx247fig2.jpg

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Bioinformatics. 2017-3-15

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