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UniProt, Universal Protein Resource

Tutorial and training materials by OpenHelix

Learn to use the UniProt Knowledgebase, which has detailed curated information about known proteins, with predictions and computational assignments for both characterized and uncharacterized proteins. The UniRef layer provides clustered handy links to related proteins. UniParc archive records collect non-redundant but complete collections of protein sequence data. This tutorial will explore each type of record--UniProt, UniRef, and UniParc, and examine available search strategies. This resource is a foundational tool for proteomics research.
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You'll learn:

  • to perform text searches for relevant protein information
  • to search with sequences as a starting point
  • to understand the different types of UniProt records
  • to create multi-sequence alignments from protein records using Clustal


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Recent BioMed Central research articles citing this resource

Liu Lifang et al., Genome-scale analysis of the high-efficient protein secretion system of Aspergillus oryzae Synthetic biology. BMC Systems Biology (2014) doi:10.1186/1752-0509-8-73

Zhou Peng et al., Genome sequence and transcriptome analyses of the thermophilic zygomycete fungus Rhizomucor miehei Eukaryote microbial genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-294

Melicher Dacotah et al., A pipeline for the de novo assembly of the Themira biloba (Sepsidae: Diptera) transcriptome using a multiple k-mer length approach Multicellular invertebrate genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-188

De Ferrari Luna et al., From sequence to enzyme mechanism using multi-label machine learning Sequence analysis (applications). BMC Bioinformatics (2014) doi:10.1186/1471-2105-15-150

Eierman E Laura et al., Transcriptomic analysis of candidate osmoregulatory genes in the eastern oyster Crassostrea virginica Multicellular invertebrate genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-503

More about the resource:

The UniProt Resource which is a centralized database for protein sequences and data, comes from the UniProt Consortium, a team consisting of members of the Swiss Bioinformatics Institute (SIB), the European Bioinformatics Institute (EBI), and the Protein Information Resource (PIR). These groups have come together to create a comprehensive and authoritative protein data resource for researchers.


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The materials and slides offered can not be resold or used for profit purposes. Reproduction, distribution and/or use is strictly limited to instructional purposes only and can not be used for for monetary gain or wide distribution.
Copyright 2009, OpenHelix, LLC.

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