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Extracting biological meaning from large gene lists with DAVID
Da Wei Huang1, Brad T Sherman, Xin Zheng
1National Cancer Institute at Frederick, Frederick, Maryland, USA.
Current Protocols in Bioinformatics
|September 4, 2009
Summary
Interpreting large gene lists from high-throughput genomics studies is challenging. The DAVID bioinformatics tool offers a systematic approach to functional annotation, revealing biological themes and aiding genomic data interpretation.
Area of Science:
- Genomics
- Bioinformatics
- Functional Genomics
Background:
- High-throughput genomics studies generate extensive gene lists.
- Functional interpretation of these large datasets presents significant challenges.
Purpose of the Study:
- To describe the step-by-step procedures for utilizing DAVID tools.
- To provide a rationale and key parameters for DAVID analysis.
- To facilitate the extraction of biological themes from large gene lists.
Main Methods:
- Utilizing the DAVID (Database for Annotation, Visualization and Integrated Discovery) web-based application.
- Systematic gene functional annotation and analysis.
Main Results:
- DAVID provides an integrative environment for high-throughput gene functional analysis.
- The tool aids in identifying underlying biological themes within genomic studies.
Conclusions:
- DAVID is an essential bioinformatics resource for interpreting large gene lists.
- It offers valuable insights for understanding genomic study results.
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