getENRICH

getENRICH performs gene and pathway enrichment analysis for non-model organisms using hypergeometric distribution for P-value calculation and Benjamini-Hochberg correction for multiple testing.

Key Features:

• Gene Ontology Enrichment Analysis: getENRICH categorizes genes into biological processes, cellular components, and molecular functions using the Gene Ontology system.
• Non-Model Organism Support: getENRICH addresses the challenge of limited genetic information and available tools for non-model organisms.
• Multiple Testing Correction: getENRICH applies Benjamini-Hochberg correction to account for multiple hypothesis testing.
• Statistical Significance Testing: getENRICH employs hypergeometric distribution for P-value calculation in enrichment analysis.

Scientific Applications:

• Functional Annotation of Genes: getENRICH facilitates the functional annotation of genes by categorizing them into specific biological processes, cellular components, and molecular functions.
• Pathway Enrichment Analysis: getENRICH enables pathway enrichment analysis for gene datasets from non-model organisms.

Methodology:

getENRICH employs hypergeometric distribution for P-value calculation and Benjamini-Hochberg correction for multiple testing.