ChIP-seq analysis using R - Experimental design and peak calling.
ChIP-seq analysis using R - Experimental design and peak calling.
Keywords
ChIP-Seq, Experimental-design, Peak-calling, Visualisation
Authors
- Bori Mifsud
- Kathi Zarnack
Type
- Lecture
Description
This lecture is an introduction to ChIP-seq experiments and data. It provides a theoretical background to experimental design and peak calling.
Aims
The aim of the course is to draw biologists' attention to the impact of experimental design, and the pitfalls of ChIP-seq data analysis, and to give them an overview of the analysis steps.
Prerequisites
- HTS-introduction
- Preprocessing
- Alignment
Target audience
- Biologist
- Computational biologist
Learning objectives
- Define appropriate experimental design
- Describe and perform steps of the ChIP-Seq workflow
- Explain how peak callers work
Materials
- not applicable
Data
- not applicable
Timing
1 hour
Content stability
Stable. There might be small updates in the future.
Technical requirements
- None
Literature references
- Landt et al., ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia. Genome Res. 2012 Sep;22(9):1813-31. doi: 10.1101/gr.136184.111.
- Chen et al., Systematic evaluation of factors influencing ChIP-seq fidelity. Nat Methods. 2012 Jun;9(6):609-14. doi: 10.1038/nmeth.1985.
Keywords: ChIP-Seq, Experimental-design, Peak-calling, Visualisation
Activity log