microAnalyzer

microAnalyzer performs automatic normalization, summarization, and annotation of Affymetrix gene expression and SNP binary data to preprocess and prepare datasets for downstream microarray analysis.

Key Features:

• Automatic Preprocessing: Performs automatic normalization, summarization, and annotation of raw Affymetrix gene expression and SNP binary data.
• TM4 Suite Integration: Produces preprocessed output formatted for direct loading into the TM4 Suite for downstream microarray analysis.
• Comprehensive Data Handling: Supports both gene expression arrays and SNP arrays and handles numerical, symbolic, and temporal data types including molecular data (gene expression and SNPs) and clinical metrics (drug response, time to progression, survival rates).
• Preprocessing Orchestration: Manages invocation and loading of preprocessing libraries, eliminates manual invocation of external tools such as Affymetrix Power Tools, and handles intermediate files generated during preprocessing.

Scientific Applications:

• Clinical genomics integration: Integrates gene expression and SNP data for combined analyses in clinical genomics studies.
• Disease mechanism and therapeutic response analysis: Enables analysis to provide insights into disease mechanisms and therapeutic responses using microarray-derived molecular data.
• Personalized medicine research: Supports efforts to elucidate genetic underpinnings of disease and to develop personalized medicine approaches.

Methodology:

Computational steps explicitly include preprocessing of raw microarray data via automatic normalization, summarization, and annotation of Affymetrix gene expression and SNP binary data, loading of preprocessing libraries, orchestration of external tools such as Affymetrix Power Tools when applicable, management of intermediate files, and export of preprocessed data for TM4 Suite.