DAVID Bioinformatics Resources: expanded annotation database and novel algorithms to better extract biology from large gene lists

被引:1661
作者
Huang, Da Wei [1 ]
Sherman, Brad T. [1 ]
Tan, Qina [1 ]
Kir, Joseph [1 ]
Liu, David [2 ]
Bryant, David [2 ]
Guo, Yongjian [5 ]
Stephens, Robert [2 ]
Baseler, Michael W. [3 ]
Lane, H. Clifford [4 ]
Lempicki, Richard A. [1 ]
机构
[1] NCI, SAIC Frederick Inc, Lab Immunopathogenesis & Bioinformat, Frederick, MD 21702 USA
[2] NCI, SAIC Frederick Inc, Adv Biomed Comp Ctr, Frederick, MD 21702 USA
[3] NCI, SAIC Frederick Inc, Clin Serv Program, Frederick, MD 21702 USA
[4] NIAID, NIH, Immunoregulat Lab, Bethesda, MD 20892 USA
[5] NIAID, NIH, NIAID Off Technol Informat Syst, Bioinformat & Sci IT Program, Bethesda, MD 20892 USA
基金
美国国家卫生研究院;
关键词
D O I
10.1093/nar/gkm415
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
All tools in the DAVID Bioinformatics Resources aim to provide functional interpretation of large lists of genes derived from genomic studies. The newly updated DAVID Bioinformatics Resources consists of the DAVID Knowledgebase and five integrated, web-based functional annotation tool suites: the DAVID Gene Functional Classification Tool, the DAVID Functional Annotation Tool, the DAVID Gene ID Conversion Tool, the DAVID Gene Name Viewer and the DAVID NIAID Pathogen Genome Browser. The expanded DAVID Knowledgebase now integrates almost all major and well-known public bioinformatics resources centralized by the DAVID Gene Concept, a single-linkage method to agglomerate tens of millions of diverse gene/protein identifiers and annotation terms from a variety of public bioinformatics databases. For any uploaded gene list, the DAVID Resources now provides not only the typical gene-term enrichment analysis, but also new tools and functions that allow users to condense large gene lists into gene functional groups, convert between gene/protein identifiers, visualize many-genes-to-many-terms relationships, cluster redundant and heterogeneous terms into groups, search for interesting and related genes or terms, dynamically view genes from their lists on bio-pathways and more. With DAVID (http://david.niaid.nih.gov), investigators gain more power to interpret the biological mechanisms associated with large gene lists.
引用
收藏
页码:W169 / W175
页数:7
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