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GEPIA2021: integrating multiple deconvolution-based analysis into GEPIA

In 2017, we released GEPIA (Gene Expression Profiling Interactive Analysis) webserver to facilitate the widely used analyses based on the bulk gene expression datasets in the TCGA and the GTEx projects, providing the biologists and clinicians with a handy tool to perform comprehensive and complex da...

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Detalles Bibliográficos
Autores principales: Li, Chenwei, Tang, Zefang, Zhang, Wenjie, Ye, Zhaochen, Liu, Fenglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262695/
https://www.ncbi.nlm.nih.gov/pubmed/34050758
http://dx.doi.org/10.1093/nar/gkab418
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author Li, Chenwei
Tang, Zefang
Zhang, Wenjie
Ye, Zhaochen
Liu, Fenglin
author_facet Li, Chenwei
Tang, Zefang
Zhang, Wenjie
Ye, Zhaochen
Liu, Fenglin
author_sort Li, Chenwei
collection PubMed
description In 2017, we released GEPIA (Gene Expression Profiling Interactive Analysis) webserver to facilitate the widely used analyses based on the bulk gene expression datasets in the TCGA and the GTEx projects, providing the biologists and clinicians with a handy tool to perform comprehensive and complex data mining tasks. Recently, the deconvolution tools have led to revolutionary trends to resolve bulk RNA datasets at cell type-level resolution, interrogating the characteristics of different cell types in cancer and controlled cohorts became an important strategy to investigate the biological questions. Thus, we present GEPIA2021, a standalone extension of GEPIA, allowing users to perform multiple interactive analysis based on the deconvolution results, including cell type-level proportion comparison, correlation analysis, differential expression, and survival analysis. With GEPIA2021, experimental biologists could easily explore the large TCGA and GTEx datasets and validate their hypotheses in an enhanced resolution. GEPIA2021 is publicly accessible at http://gepia2021.cancer-pku.cn/.
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spelling pubmed-82626952021-07-08 GEPIA2021: integrating multiple deconvolution-based analysis into GEPIA Li, Chenwei Tang, Zefang Zhang, Wenjie Ye, Zhaochen Liu, Fenglin Nucleic Acids Res Web Server Issue In 2017, we released GEPIA (Gene Expression Profiling Interactive Analysis) webserver to facilitate the widely used analyses based on the bulk gene expression datasets in the TCGA and the GTEx projects, providing the biologists and clinicians with a handy tool to perform comprehensive and complex data mining tasks. Recently, the deconvolution tools have led to revolutionary trends to resolve bulk RNA datasets at cell type-level resolution, interrogating the characteristics of different cell types in cancer and controlled cohorts became an important strategy to investigate the biological questions. Thus, we present GEPIA2021, a standalone extension of GEPIA, allowing users to perform multiple interactive analysis based on the deconvolution results, including cell type-level proportion comparison, correlation analysis, differential expression, and survival analysis. With GEPIA2021, experimental biologists could easily explore the large TCGA and GTEx datasets and validate their hypotheses in an enhanced resolution. GEPIA2021 is publicly accessible at http://gepia2021.cancer-pku.cn/. Oxford University Press 2021-05-29 /pmc/articles/PMC8262695/ /pubmed/34050758 http://dx.doi.org/10.1093/nar/gkab418 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Web Server Issue
Li, Chenwei
Tang, Zefang
Zhang, Wenjie
Ye, Zhaochen
Liu, Fenglin
GEPIA2021: integrating multiple deconvolution-based analysis into GEPIA
title GEPIA2021: integrating multiple deconvolution-based analysis into GEPIA
title_full GEPIA2021: integrating multiple deconvolution-based analysis into GEPIA
title_fullStr GEPIA2021: integrating multiple deconvolution-based analysis into GEPIA
title_full_unstemmed GEPIA2021: integrating multiple deconvolution-based analysis into GEPIA
title_short GEPIA2021: integrating multiple deconvolution-based analysis into GEPIA
title_sort gepia2021: integrating multiple deconvolution-based analysis into gepia
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262695/
https://www.ncbi.nlm.nih.gov/pubmed/34050758
http://dx.doi.org/10.1093/nar/gkab418
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