shinyGEO

shinyGEO performs differential expression and survival analyses of gene expression datasets retrieved from the Gene Expression Omnibus (GEO) to assess gene-level changes and prognostic associations.


Key Features:

  • Direct Data Access: Downloads gene expression datasets directly from the Gene Expression Omnibus (GEO).
  • Single-gene Evaluation: Enables focused analysis and evaluation of individual genes within specific GEO datasets.
  • Differential Expression Analysis: Identifies genes with significant expression changes between experimental conditions.
  • Survival Analysis: Assesses prognostic associations between gene expression and survival, including applications in cancer.
  • Customized Graphics and Sample Selection: Generates tailored visualizations and allows selection of specific samples for analysis.
  • Data Export and R Code Generation: Exports analysis data and generates R code to support reproducibility.

Scientific Applications:

  • Cancer biomarker and prognostic evaluation: Evaluates the prognostic value of gene expression in cancer cohorts from GEO.
  • Differential expression studies: Identifies differentially expressed genes involved in biological processes and genetic diseases.
  • Single-gene investigations: Facilitates targeted investigation of individual gene expression patterns across GEO datasets.

Methodology:

Retrieves gene expression datasets from GEO and performs differential expression analysis and survival analysis, with options to export data and generate R code.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Dumas J, Gargano MA, Dancik GM. <i>shinyGEO</i>: a web-based application for analyzing gene expression omnibus datasets. Bioinformatics. 2016;32(23):3679-3681. doi:10.1093/bioinformatics/btw519. PMID:27503226.

Documentation

Links