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

By Zefang Tang, Chenwei Li, Boxi Kang, Ge Gao, Cheng Li, Zemin Zhang. Nucleic Acids Res., 2017

8,644 citations recorded by the source corpus.

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/.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/231be65e77b73a3b1e554b19a8bde6bda751d488

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Citations in the corpus

GEPIA2021: integrating multiple deconvolution-based analysis into GEPIA (2021, background): “GEPIA series tools (3,4) leveraged the expression data and clinical data to enable the biologists to interrogate the important genes, such as the prognosis-related biomarkers (5), cancer-specific non-coding RNA (6) and the expression profile of the COVID-19 related gene ACE2 (7).”
New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx (2019, methodology): “Results Overview of TCGAbiolinks For the sake of clarity, we will briefly introduce the main functions of TCGAbiolinks that are extensively discussed in the original publication and a recently published workflow [19,20].”
GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis (2019, methodology): “To facilitate the intuitive and interactive application of such methods to the TCGA and the GTEx datasets, we initially developed the GEPIA web server in 2016 (4).”
GSCALite: a web server for gene set cancer analysis (2018, background): “Recently, a few excellent web servers such as cBioPortal focusing on the genomic variations based on multi-omics (Cerami1 et al. , 2012), GEPIA (Tang et al. , 2017) and Oncomine (Rhodes et al. , 2007) providing analysis for single gene expression and survival.”