e-learning
One protein along the UniProt page
Abstract
When doing a biological data analysis, we might end up with some interesting proteins, that we need explore these genes. But how can we do that? What are the resources available for that? And how to navigate through them?
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- How can you search for proteins using text, gene, or protein names?
- How do you interpret the information at the top of the UniProt entry page?
- What types of information can you expect from different download formats, such as FASTA and JSON?
- How is the function of a protein like opsins described in the "Function" section?
- What structured information is found in the "Names and Taxonomy", "Subcellular location", "Disease & Variants", "PTM/Processing" sections?
- How to learn about the protein expression, interactions, structure, family, sequence and similar proteins?
- How do the "Variant viewer" and "Feature viewer" tabs assist in mapping protein information along the sequence?
- What does the "Publications" tab list, and how can you filter publications?
- What is the significance of tracking entry annotation changes over time?
Learning Objectives
- By exploring protein entries in UniProtKB, interpret protein function, taxonomy, structure, interactions, variants, and more.
- Use unique identifiers to connect databases, download gene and protein data, visualize and compare sequence features.
Licence: Creative Commons Attribution 4.0 International
Keywords: Foundations of Data Science
Target audience: Students
Resource type: e-learning
Version: 4
Status: Draft
Prerequisites:
- Bioinformatics Data Types and Databases
- Learning about one gene across biological resources and formats
Learning objectives:
- By exploring protein entries in UniProtKB, interpret protein function, taxonomy, structure, interactions, variants, and more.
- Use unique identifiers to connect databases, download gene and protein data, visualize and compare sequence features.
Date modified: 2023-11-09
Date published: 2023-09-07
Scientific topics: Software engineering
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