2007 | Da Wei Huang, Brad T. Sherman, Qina Tan, Joseph Kir, David Liu, David Bryant, Yongjian Guo, Robert Stephens, Michael W. Baseler, H. Clifford Lane, Richard A. Lempicki
The DAVID Bioinformatics Resources have been expanded to provide a more comprehensive and powerful set of tools for functional interpretation of large gene lists derived from genomic studies. The updated resources include the DAVID Knowledgebase, which integrates over 20 types of gene/protein identifiers and more than 40 functional annotation categories from various public databases. The DAVID Functional Annotation Tool Suite offers enhanced annotation coverage, including GO terms, protein interactions, disease associations, and bio-pathways. New features such as the DAVID Gene Functional Classification Tool Suite, DAVID Gene ID Conversion Tool, DAVID Gene Name Batch Viewer, and DAVID NIAID Pathogen Browser further enhance the ability to analyze and visualize gene lists. The DAVID API Services allow direct integration of gene lists into other bioinformatics pipelines. These improvements aim to provide researchers with more tools to explore and extract biological meaning from large gene lists, facilitating the interpretation of complex genomic data.The DAVID Bioinformatics Resources have been expanded to provide a more comprehensive and powerful set of tools for functional interpretation of large gene lists derived from genomic studies. The updated resources include the DAVID Knowledgebase, which integrates over 20 types of gene/protein identifiers and more than 40 functional annotation categories from various public databases. The DAVID Functional Annotation Tool Suite offers enhanced annotation coverage, including GO terms, protein interactions, disease associations, and bio-pathways. New features such as the DAVID Gene Functional Classification Tool Suite, DAVID Gene ID Conversion Tool, DAVID Gene Name Batch Viewer, and DAVID NIAID Pathogen Browser further enhance the ability to analyze and visualize gene lists. The DAVID API Services allow direct integration of gene lists into other bioinformatics pipelines. These improvements aim to provide researchers with more tools to explore and extract biological meaning from large gene lists, facilitating the interpretation of complex genomic data.