Learning Pathway Epigenetics data analysis with Galaxy
Date: No date given
Familiarize yourself with the Galaxy user interface and its most important features,
then move on to analysis of genomic interval and deep-sequencing data
with tools and tool suites like MACS2, bedtools and deepTools.
Keywords: beginner, epigenetics, genomic-intervals
Learning objectives:
- Apply an enrichment analysis and a robust peak detection
- Apply appropriate analysis and quality control steps for ATAC-Seq
- Apply appropriate analysis and quality control steps for CUT&RUN
- Assess the quality of a ChIP-seq experiment
- Call enriched regions or peaks
- Extract coverage files
- Familiarize yourself with the basics of Galaxy
- Find protein binding motifs
- Generate a heatmap of transcription start site accessibility
- Get a first intuition what are common pitfalls.
- Inspect the read quality
- Learn how histories work
- Learn how to analyse methylation data
- Learn how to create a workflow
- Learn how to extract and run a workflow
- Learn how to obtain data from external sources
- Learn how to run tools
- Learn how to share a history
- Learn how to share your work
- Learn how to upload a file
- Learn how to use a tool
- Learn how to view histories
- Learn how to view results
- Map reads on a reference genome
- Trim low quality bases
- Visualise peaks for specific regions
Event types:
- Workshops and courses
Sponsors: Australian BioCommons, ELIXIR Europe, Erasmus Medical Center, The Pennsylvania State University, University of Freiburg, de.NBI
Scientific topics: Epigenomics
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