MetaOmGraph

MetaOmGraph performs network-based analysis of large-scale transcriptomic datasets to construct gene co-expression networks and identify regulons for interpreting gene interactions across developmental, tissue, and disease conditions.

Key Features:

• Data Utilization: Utilizes over 40,000 HG U133A Affymetrix microarray chips from ArrayExpress and selects 18,637 high-quality chips from more than 500 experiments to inform network construction.
• Network Construction: Generates a globally stable gene co-expression network named the 18637 Hu-co-expression-network by analyzing the selected transcriptomic datasets.
• Regulon Identification: Partitions the co-expression network into regulons using the Markov clustering algorithm (MCL), yielding groups that include approximately 12% of human genes interconnected by 31,471 correlations and validated by GO term overrepresentation tests and gene permutation evaluations.
• Statistical and Text Mining Analysis: Performs text mining of metadata, gene ontology (GO) term overrepresentation analysis, and statistical examination of transcriptomic experiments across multiple conditions to identify condition-specific biological fingerprints such as those related to the central nervous system (CNS).

Scientific Applications:

• Condition-specific transcriptomic refinement: Refines transcriptomic signatures derived from specific developmental, tissue, or disease conditions.
• Gene-disease relationship analysis: Elucidates global gene-disease relationships to support hypothesis generation.
• Biological fingerprint discovery: Identifies novel biological fingerprints that distinguish disease states and tissue-specific conditions, including CNS-related signatures.

Methodology:

Performs network-based analysis of large-scale transcriptomic data to construct gene co-expression networks, applies Markov clustering (MCL) to define regulons, and uses GO term overrepresentation tests, gene permutation evaluations, metadata text mining, and statistical examination across conditions for validation and interpretation.