e-learning
RNA-RNA interactome data analysis
Abstract
With the advances in the next-generation sequencing technologies, genome-wide RNA-RNA interaction predictions are now
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
- What are the difficulties in mapping chimeric reads from RNA interactome data?
- How multi mapping is a big problem in these datasets?
- How to filter for meaningful results from large analysis output files?
Learning Objectives
- Quality control and data preparation
- Mapping chimeric reads
- Quantification of the mapped loci
- Visualization and filtering of results
Licence: Creative Commons Attribution 4.0 International
Keywords: Transcriptomics
Target audience: Students
Resource type: e-learning
Version: 12
Status: Active
Prerequisites:
- Introduction to Galaxy Analyses
- Mapping
- Quality Control
Learning objectives:
- Quality control and data preparation
- Mapping chimeric reads
- Quantification of the mapped loci
- Visualization and filtering of results
Date modified: 2023-11-09
Date published: 2020-03-23
Contributors: Pavankumar Videm
Scientific topics: Transcriptomics
External resources:
Activity log
