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.|
- 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
Recent BioMed Central research articles citing this resource
Weber Nora et al., Biocatalytic potential of vanillin aminotransferase from Capsicum chinense Protein and enzyme technology. BMC Biotechnology (2014) doi:10.1186/1472-6750-14-25
Blanc Valerie et al., Genome-wide identification and functional analysis of Apobec-1-mediated C-to-U RNA editing in mouse small intestine and liver. Genome Biology (2014) doi:10.1186/gb-2014-15-6-r79
Rahmad Norasfaliza et al., Comparative proteomic analysis of different developmental stages of the edible mushroom Termitomyces heimii. Biological Research (2014) doi:10.1186/0717-6287-47-30
Haney A Robert et al., Dramatic expansion of the black widow toxin arsenal uncovered by multi-tissue transcriptomics and venom proteomics Multicellular invertebrate genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-366
Chen Junwen et al., RNA-Seq for gene identification and transcript profiling of three Stevia rebaudiana genotypes Plant genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-571
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.
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.