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

Nucleic Acids Research · 2017 · Vol. 45(W1) · pp. W98–W102
Zefang TangChenwei LiChenwei LiBoxi KangGe GaoCheng LiCheng LiZemin Zhang

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/.

Gene expression and cancer classificationBioinformatics and Genomic NetworksMolecular Biology Techniques and ApplicationsProfiling (computer programming)BiologyFunctional genomicsGene expression profilingComputer scienceGenomicsData scienceComputational biologyGeneGene expression

MeSH terms

HumansNeoplasm ProteinsNeoplasmsUser-Computer InterfaceGene Expression Regulation, NeoplasticSurvival AnalysisInternetGene Expression ProfilingData MiningMultifactor Dimensionality Reduction
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References
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Nature Reviews Genetics · 2008 · 13,223 citations
Tissue-based map of the human proteome
Science · 2015 · 15,548 citations
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Nature Genetics · 2013 · 9,254 citations
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