e-learning
DNA Methylation data analysis
Abstract
We will use a small subset of the original data. If we would do the computation on the orginal data the computation time for a tutorial is too long. To show you all necessary steps for Methyl-Seq we decided to use a subset of the data set. In a second step we use precomputed data from the study to show you different levels of methylation. We will consider samples from normal breast cells (NB), fibroadenoma (noncancerous breast tumor, BT089), two invasive ductal carcinomas (BT126, BT198) and a breast adenocarcinoma cell line (MCF7).
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 is methylation and why it cannot be recognised by a normal NGS procedure?
- Can a different methylation influence the expression of a gene? How?
- Which tools you can use to analyse methylation data?
Learning Objectives
- Learn how to analyse methylation data
- Get a first intuition what are common pitfalls.
Licence: Creative Commons Attribution 4.0 International
Keywords: Epigenetics
Target audience: Students
Resource type: e-learning
Version: 23
Status: Active
Prerequisites:
- Introduction to Galaxy Analyses
- Mapping
- Quality Control
Learning objectives:
- Learn how to analyse methylation data
- Get a first intuition what are common pitfalls.
Date modified: 2024-06-25
Date published: 2017-02-16
Contributors: Devon Ryan, Joachim Wolff
Scientific topics: Epigenomics
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