Recorded webinar

A guide to proteomics data analysis using UniProt and InterPro

This webinar will give a brief introduction to the UniProt and InterPro websites and highlight resources available that proteomic scientists or other users with protein datasets may find useful to analyse their data. This will encompass searching by protein sequence, identifying protein peptides, and retrieving sequence-specific features and functional information both curated and predicted.

The UniProt database aims to provide a high quality, comprehensive, publicly available protein database, annotated by expert curators. It contains detailed information on protein function, interactions, pathways, protein sequences and isoforms, disease variants and post-translational modifications. 

InterPro is a database that helps users to understand the possible functions of protein sequences by identifying what family it belongs to or what domains and motifs it contains. InterPro provides the world’s most comprehensive predictions by combining predictions from 13 member databases.

Both databases are  freely available resources that are actively maintained with bi-monthly data updates, additionally all data is available through intuitive user interfaces, APIs, and data downloads.


Who is this course for?

This webinar is suitable for both computational and wet-lab researchers in life sciences who are interested in studying proteins and proteins functions. No prior knowledge of bioinformatics is required, but an undergraduate level knowledge of biology would be useful.



By the end of the webinar you will be able to:

  • Perform a sequence search on the UniProt and InterPro websites
  • Use the tools provided by the UniProt and InterPro websites to analyse your protein of interest
  • List different ways to access the InterPro data

DOI_disc_logo DOI: 10.6019/TOL.Guide-UniProt-InterPro-w.2021.00001.1

This webinar took place on 23 June 2021. Please click the 'Watch video' button to view the recording.

EBI Resources

Duration: 01:05:38
23 June 2021
Ajay Mishra

  • Ajay Mishra

  • Typhaine Paysan-Lafosse
  • Emily Bowler-Barnett
  • Paul Denny

Creative Commons

All materials are free cultural works licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, except where further licensing details are provided.

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