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Basics of ChIP-seq analysis - how to explore this kind of data
Offered by: | LuciLinX with Merja Heinäniemi |
Level: | Beginners |
When: | 24 + 25 November 2011 |
Where: | University of Luxembourg, Bâtiment des Sciences, Room BS 0.11 |
Duration: | 1 pm - 5 pm |
Requirements: | See info about day 2 |
Restrictions: | Maximum 20 participants. First-come first-serve |
Registration: | By email to Merja Heinäniemi |
Contact: | merja DOT heinaniemi AT uni DOT lu |
Description of Day 1, 24 November
Target audience: mainly biologists, no command line skills required, no raw data analysis
How to use (ChIP-)seq datasets?
- Lecture:
- Introduction to biology: genes, transcription factors and histone markers
- Finding transcription factor binding sites and enhancers using ChIP-seq data
- GEO and data formats
- ENCODE data
Practical:
- Downloading peak data
- Visualization of ChIP-seq data
- Using Galaxy to convert formats, find overlapping regions, retrieve fasta sequences etc
Description of Day 2, 25 November
Target audience: bioinformaticians, command line skills required, raw data analysis (in the limits of available CPU / RAM resources)
How to analyze (ChIP-)seq datasets?
- Lecture:
- 1. Fastq and solexa format
- Taq alignment options
- Taq shifting for peak detection
- Statistics of peak detection
Practical:
Requirements
As analysis of raw (Chip-)seq data requires long run-times and a lot of space and memory, the practicals will be more demonstration than really hands-on experience. However, participants are encouraged to bring their own (large) external harddisks, if available, to get the software + files to later test them at their own computer (assuming that meets software requirements).
If possible, please bring a laptop with a Linux installation, or with Linux installed in a VirtualBox environment. If you need help with this, please contact Anke Wienecke "anke dot wienecke at uni dot lu" who can guide you through the installation.