The Database for Annotation, Visualization and Integrated Discovery
DAVID Bioinformatics Resources
Laboratory of Human Retrovirology and Immunoinformatics (LHRI)
Laboratory of Human Retrovirology and Immunoinformatics (LHRI)
Overview

The Database for Annotation, Visualization and Integrated Discovery (DAVID) provides a comprehensive set of functional annotation tools for investigators to understand the biological meaning behind large lists of genes. These tools are powered by the comprehensive DAVID Knowledgebase built upon the DAVID Gene concept which pulls together multiple sources of functional annotations. For any given gene list, DAVID tools are able to:

  check image  Identify enriched biological themes, particularly GO terms
   check image  Discover enriched functional-related gene groups
   check image  Cluster redundant annotation terms
   check image  Visualize genes on BioCarta & KEGG pathway maps
   check image  Display related many-genes-to-many-terms on 2-D view.
   check image  Search for other functionally related genes not in the list
   check image  List interacting proteins
   check image  Explore gene names in batch
   check image  Link gene-disease associations
   check image  Highlight protein functional domains and motifs
   check image  Redirect to related literatures
   check image  Convert gene identifiers from one type to another.
   check image  And more

Hot Links

  • fire image  Multiple positions available in LHRI fire image
    The Laboratory of Human Retrovirology and Immunoinformatics (LHRI) has collaborated with the National Institute of Allergy and Infectious Diseases (NIAID) and supported NIAID clinical trials for patients infected with HIV mutants resisting anti-retroviral therapy. LHRI has isolated the multiple-class drug-resistant (MDR) variants from patients and characterized each variant's drug sensitivity and infectivity. The study aims to define salvage therapy and develop novel therapy (chemotherapy and immunotherapy). During the investigation, LHRI has characterized the emergence of novel mutations on drug susceptibility and viral replication. LHRI is a pioneer in researching the anti-viral cytokine, Interleukin-27, DNA-repair protein (Ku70)-mediated innate immune response against HIV and other virus co-infection, and novel subsets of immune cells. LHRI maintains the Database for Annotation, Visualization and Integrated Discovery ( DAVID ).

      (1) Scientist I - Virology position available to perform the defective proviral study in our Basic Research Section.

      (2) Scientist-Cytokines and HIV available in our Basic Research Section. We are looking for a cytokine immunologist who is interested in virus (HIV/ HSV/KHSV) pathogenesis in myeloid immune cell types ( macrophages, dendritic cells and microglia cells).

      (3) Postdoctoral Fellow available in our Basic Research Section. This position is an excellent opportunity for a young Ph.D. who has no experience in virus research and seeks a career in a new research field. You will learn how to handle infectious RNA viruses and investigate the mechanism of virus infection and the interaction of host cell proteins using HIV (lentivirus) variants under an SOP following the NIAID guideline in the BSL2* laboratory. LHRI does not consider virus experience in the past, instead seeks a highly motivated researcher. The knowledge learned in the lab can apply to future COIVD or other virus studies.

      (4) Bioinformatics Analyst II available to perform bioinformatics analyses and develop bioinformatics analysis pipelines in our Bioinformatics Section.

  • DAVID Forum
    Forum for DAVID users to ask questions, suggest new functions and help other users by answering their questions.
  • FAQ
    Frequently Asked Questions
  • LHRI Publications
    Publications of the Laboratory of Human Retrovirology and Immunoinformatics, Frederick National Laboratory for Cancer Research
  • DAVID Publications
    Publications about DAVID

What's New

DAVID Statistics

DAVID Bioinformatic Resources Citations

  • > 62.9K Citations (Updated 11/17/2022)
  • Average Daily Usage: ~2,700 gene lists/sublists from ~900 unique researchers.
  • Average Annual Usage: ~1,000,000 gene lists/sublists from >100 countries