e-learning
Secretome Prediction
Abstract
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 to predict cellular protein localization based upon GO-terms?
- How to combine multiple localization predictions?
Learning Objectives
- Predict proteins in the cellular secretome by using GO-terms.
- Predict proteins in the cellular secretome by using WolfPSORT.
- Combine the results of both predictions.
Licence: Creative Commons Attribution 4.0 International
Keywords: Proteomics, human, work-in-progress
Target audience: Students
Resource type: e-learning
Version: 14
Status: Draft
Prerequisites:
Introduction to Galaxy Analyses
Learning objectives:
- Predict proteins in the cellular secretome by using GO-terms.
- Predict proteins in the cellular secretome by using WolfPSORT.
- Combine the results of both predictions.
Date modified: 2023-11-09
Date published: 2017-04-13
Scientific topics: Proteomics
External resources:
Activity log
