simpleaffy

simpleaffy provides quality control and processing of Affymetrix .CEL microarray data within the BioConductor ecosystem for reliable gene expression analysis.

Key Features:

• Quality Control Metrics: Computes QC metrics for assessing RNA integrity and hybridization quality from Affymetrix .CEL files.
• Expression Summaries and Detection Calls: Provides fast implementations of algorithms to generate expression summaries and detection calls.
• Integration with affy Library: Integrates with the affy library for processing .CEL files and supports statistical analyses including t-tests and fold-change calculations.
• Data Visualization: Offers scatter plot functions and generation of high-resolution figures for publication.

Scientific Applications:

• Genomics research: Analysis of gene expression patterns from Affymetrix microarray experiments.
• Differential gene expression: Identification of differentially expressed genes using t-tests and fold-change metrics.
• Biomarker discovery: Detection of disease-associated expression signatures from microarray data.
• Genetic pathway analysis: Support for studies of genetic pathways based on measured expression profiles.
• Experimental quality assessment: Assessment of sample and experiment quality via QC metrics to ensure high-confidence results.

Methodology:

Computational methods include calculation of QC metrics, fast algorithms for expression summary generation and detection calls, t-test and fold-change calculations, and scatter-plot generation, implemented via integration with the affy library in BioConductor.