GEOexplorer

GEOexplorer performs gene expression analysis and visualization of microarray datasets from GEO (Gene Expression Omnibus) to support exploratory data analysis and differential expression studies.

Key Features:

• Interactive and Reproducible Analysis: Provides reproducible analysis workflows implemented in R to support scripted microarray gene expression analyses.
• Integration with Bioconductor: Integrates with Bioconductor data structures and packages to leverage existing bioinformatics tools and resources.
• Exploratory Data Analysis (EDA): Supports standard exploratory data analysis steps for microarray datasets.
• Differential Gene Expression Analysis: Performs identification of differentially expressed genes between sample groups.
• Rich Interactive Visualizations: Generates a comprehensive set of visualizations for interpretation and exploration of microarray results.

Scientific Applications:

• Molecular biology research: Deciphering gene expression patterns across conditions and treatments using microarray data.
• Biomarker discovery: Identifying candidate disease biomarkers from public microarray datasets to inform diagnostic and therapeutic research.
• Public data analysis: Analysis of publicly available GEO microarray datasets to uncover biological signals and generate hypotheses.

Methodology:

Data importation from GEO, normalization, exploratory data analysis, and differential expression testing implemented in R and integrated with Bioconductor for microarray datasets.