NETGE-PLUS

NETGE-PLUS performs standard and network-based gene set enrichment analysis to integrate genomic data with molecular pathways and biological processes and to link genotype to phenotype across human and model organisms including Sus scrofa, Saccharomyces cerevisiae, Escherichia coli, and Arabidopsis thaliana.

Key Features:

• Standard and Network-Based Enrichment Analysis: Provides both traditional gene set enrichment and network-based interpretations to capture individual-term significance and network context.
• Support for Multiple Organisms: Includes data and analysis support for human, Sus scrofa, Saccharomyces cerevisiae, Escherichia coli, and Arabidopsis thaliana.
• Functional Enrichment of Gene Lists: Processes both simple and ranked gene lists for identification of enriched biological processes and pathways.
• KEGG Pathway Exploration: Enables analysis of relationships among KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways to investigate pathway interconnectedness.

Scientific Applications:

• Omics research: Aids in deciphering complex trait information by linking genomic data to phenotypic expressions through pathway analysis.
• Genomics: Supports functional interpretation of gene sets derived from genomic studies.
• Transcriptomics: Facilitates functional enrichment analysis of gene lists from transcriptomic datasets.
• Proteomics and Metabolomics: Provides pathway-level interpretation for proteomics and metabolomics data.

Methodology:

Integration of gene set enrichment techniques with network-based analyses using standard statistical methods and advanced network algorithms.