Pathology Portal

A guide to proteomics data analysis using UniProt and InterPro

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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 forboth computational and wet-lab researchers in life sciences who are interested in studying proteins and proteins functions.

Outcomes

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

Typhaine Paysan-Lafosse
Emily Bowler-Barnett

Paul Denn

Resource details

Contributed by: Pathology Portal
Authored by: Typhaine Paysan-Lafosse, The European Molecular Biology Laboratory-European Bioinformatics Institute's (EMBL-EBI).
Emily Bowler-Barnett, The European Molecular Biology Laboratory-European Bioinformatics Institute's (EMBL-EBI).
Paul Denn, The European Molecular Biology Laboratory-European Bioinformatics Institute's (EMBL-EBI).
Licence: Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 International More information on licences
First contributed: 08 December 2022
Audience access level: Full user

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