hgv_david

hgv_david performs functional annotation and pathway analysis of gene and protein lists by interfacing with the DAVID (Database for Annotation, Visualization and Integrated Discovery) database for analysis of high-throughput genomic datasets.

Key Features:

• Integrated Biological Knowledgebase: Leverages DAVID's repository to provide annotation data and biological context for genes and proteins.
• High-Throughput Data Analysis: Supports analysis of large datasets, including those generated by next-generation DNA sequencing technologies and genome-scale studies.
• Analytic Tools for Biological Insight: Provides gene functional classification, functional annotation charts, clustering, functional annotation tables, text mining, and pathway-mining tools.
• Reproducibility and Transparency: Automatically tracks computational analyses performed through the platform.

Scientific Applications:

• Gene Functional Classification: Classifies genes by function to identify biological processes and functional groupings within gene sets.
• Pathway Analysis: Performs pathway mining to explore interactions and pathway-level context of genes.
• Data Integration from High-Throughput Experiments: Enables integration and interpretation of genome-scale and next-generation sequencing-derived datasets.

Methodology:

A gene list is uploaded to DAVID via hgv_david; DAVID analytic modules (gene functional classification, functional annotation charts, clustering, functional annotation tables, text mining, and pathway mining) are applied, and computational analyses are automatically tracked.