What question did this study set out to answer?

Develop an interactive web-based platform to deliver customizable gene expression analysis using integrated RNA sequencing datasets from TCGA and GTEx.

April 5, 2017Nucleic Acids ResearchOpen Access

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

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Authors

ZTZefang TangBroad Institute CLChenwei LiNingbo University Affiliated Hospital CLChenwei LiNingbo University Affiliated Hospital

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Overview

Bioinformatics software development demonstrates interactive gene expression profiling across large-scale cancer datasets, highlighting streamlined data mining for therapeutic discovery.

Key Points

Develop an interactive web-based platform to deliver customizable gene expression analysis using integrated RNA sequencing datasets from TCGA and GTEx.
Integrated large-scale RNA sequencing data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) projects into a standardized analytical framework.
Engineered an interactive web server providing configurable statistical modules for differential expression, survival modeling, gene correlation, and dimensionality reduction.
Successfully launched the GEPIA server, supporting fast, interactive visualization, similar gene detection, and patient survival analyses across tumor and matched normal tissues.
Provided an accessible, point-and-click tool that bridges the gap between raw genomic big data and functional biological exploration without requiring advanced programming skills.

Cite This Study

Tang et al. (2017) studied this question.

synapsesocial.com/papers/69d7b6763fae90fd6048ff76 https://doi.org/10.1093/nar/gkx247

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April 5, 2017Nucleic Acids ResearchOpen Access

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

View Full Paper

Ask AI

Bookmark

Authors

ZTZefang TangBroad Institute CLChenwei LiNingbo University Affiliated Hospital CLChenwei LiNingbo University Affiliated Hospital

Discussion

Member takes

Overview

Bioinformatics software development demonstrates interactive gene expression profiling across large-scale cancer datasets, highlighting streamlined data mining for therapeutic discovery.

Key Points

Develop an interactive web-based platform to deliver customizable gene expression analysis using integrated RNA sequencing datasets from TCGA and GTEx.
Integrated large-scale RNA sequencing data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) projects into a standardized analytical framework.
Engineered an interactive web server providing configurable statistical modules for differential expression, survival modeling, gene correlation, and dimensionality reduction.
Successfully launched the GEPIA server, supporting fast, interactive visualization, similar gene detection, and patient survival analyses across tumor and matched normal tissues.
Provided an accessible, point-and-click tool that bridges the gap between raw genomic big data and functional biological exploration without requiring advanced programming skills.

Cite This Study

Tang et al. (2017) studied this question.

synapsesocial.com/papers/69d7b6763fae90fd6048ff76 https://doi.org/10.1093/nar/gkx247

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