How to use DAVID for functional annotation of genes

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Published 2020-07-14
This tutorial shows you how to generate a variety of functional annotations of a gene list, such as that generated by differential gene expression analyses like RNA-seq.

DAVID is an open bioinformatics resource accessed through a web browser that provides a comprehensive set of functional annotation tools for investigators to understand biological meaning behind large list of genes. For any given gene list, DAVID tools are able to:
- Identify enriched biological themes, particularly gene ontology (GO) terms
- Discover enriched functional-related gene groups
- Visualize genes on BioCarta & KEGG pathway maps
- Display related many-genes-to-many-terms on 2D view
- Search for other functionally related genes not in the list

These tools, and more functions, can be found at david.ncifcrf.gov/.

This tutorial on GSEA is brought to you by Dr Katherine West in the College of Medical Veterinary and Life Sciences at the University of Glasgow, Scotland. Look out for our other videos in this tutorial series that will help you get the most out of your gene expression analysis.

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All Comments (21)
  • Thanks for this video! V useful :) Please would you mind letting me know if you paste both upregulated and downregulated genes OR do you paste the unregulated and downregulated genes separately (like in ToppGene)?
  • This was an extremely useful video. Thank you sooo much. Most of the time you have to teach all these things for yourself as a PhD candidate. One also usually do not have people to ask how to exactly do or use these things.
  • @user-rf1nr1em3c
    This is GOLD! I am a biologist who does not know anything about bioinformatics, i've done a differential expression analysis of genes using RStudio and then i was like, what now, what to do with these DEGs? And then i found this amazing tutorial! THANK YOU! <3
  • @Kehinde747
    Very helpful - I have dabbled with DAVID from occasionally but this is the first time I really understood how to move beyond the initial set of results it gives.
  • @Rawwr1ful
    Great video, been recommended this tool during my dissertation but had no guidance on how to use it! Can't thank you enough.
  • Thanks, Guru for sharing this video. It is a really nice overview of DAVID with a lot of information.
  • @gracec5355
    Thank you! Good overview for beginnings! 🙂
  • @realndongocongo
    Thank you for the video, very informative, I was struggling to extract insight from DAVID but know I am more confident
  • It was a great tutorial. It would be nice if you could expand on the meaning of each part and their function in another video. For example, maybe explain how the acquired data can be used in research (or at least provide resources for beginners to follow and learn more). Also, if there are technical or specific types of plots that can visualize the results taken from DAVID, it would be very nice if you can cover them as well.
  • This video was assigned for a class that I am taking. Great introduction to the tool
  • @user-nu1sb2ob8x
    Thank you so much for this tutorial! I'm new to proteomics and this video helped me a lot to get started on my data analysis
  • Thank you so much! Now my team can continue working on our project thanks to your video :))
  • @rimed5718
    Thank you so much for this high quality tutorial!
  • @sherryniu1632
    Great video! Very easy to follow for beginners with 0 experience!
  • @antoine3933
    Thanks for this video ! will be very usefull to me and it was very clear