GOMiner WS

GOMiner WS organizes and interprets lists of genes from microarray experiments using Gene Ontology annotations to contextualize under- and overexpressed genes.

Key Features:

• Gene Organization and Interpretation: Systematically maps genes from microarray-derived lists to Gene Ontology biological processes, cellular components, and molecular functions.
• Quantitative and Statistical Analysis: Produces quantitative and statistical output files that characterize gene expression patterns and support analysis of under- and overexpressed genes.
• Visualization Tools: Provides hierarchical tree-like views (similar to the AmiGO browser) and directed acyclic graph (DAG) visualizations showing relationships among GO terms and associated genes.
• Integration with Bioinformatics Resources: Links analyzed genes to major public bioinformatics resources to enable access to additional annotations and external data.

Scientific Applications:

• Functional Genomics: Interprets roles of genes within biological pathways and processes via GO term mappings.
• Disease Research: Supports identification of candidate biomarkers and potential therapeutic targets by analyzing differential gene expression between conditions.
• Systems Biology: Facilitates integration of gene expression profiles with other omics data to inform models of cellular function.

Methodology:

Organizes and analyzes lists of genes identified as under- or overexpressed, maps those genes to Gene Ontology annotations, applies statistical methods to generate quantitative output files, and produces tree-like and DAG visualizations.