ArrayTools

ArrayTools performs differential gene expression analysis on Affymetrix GeneChips, including 3' expression arrays and Gene 1.0-ST arrays, to detect significant transcriptomic changes within the R/Bioconductor ecosystem.

Key Features:

• Differential Gene Expression Analysis: Identifies genes with statistically significant expression differences between experimental conditions.
• HTML Reporting and QC Links: Produces HTML reports that include hyperlinks to quality control (QC) plots, processed data files, and lists of differentially expressed genes.
• Data Annotation and External Database Linking: Outputs annotated tabular results for differentially expressed genes with links to online biological databases.
• Bioconductor Integration: Operates within R and the Bioconductor project, leveraging interoperable packages and Bioconductor's review and testing infrastructure.

Scientific Applications:

• Gene Function Studies: Supports identification of genes with altered expression to infer gene function and regulatory mechanisms.
• Disease Research: Facilitates discovery of candidate biomarkers by comparing expression profiles between diseased and healthy states.
• Drug Development: Aids identification of potential drug targets through differential expression analysis.

Methodology:

Preprocessing includes normalization and background correction, followed by statistical testing implemented in R/Bioconductor packages.