ChIP-seq analysis using R - Mapping and file formats
ChIP-seq analysis using R - Mapping and file formats
Keywords
ChIP-Seq, RNA-Seq, Alignment, Data-format, Assembly, QC
Authors
- Anna Poetsch
- based partially on material from Ernest Turro (University of Cambridge)
Type
- Lecture
Description
This lecture introduces the principles behind alignment, different tools and de-novo assembly. It also covers post mapping data format and quality control
Aims
The aim of the course is to introduce the principles for aligning reads to a genome or transcriptome and gives a selection of tools that are commonly used for these tasks. It introduces the data formats involved and covers post alignment quality control.
Prerequisites
- HTS-introduction
Target audience
Biologist, Computational biologist
Learning objectives
- Understand the principles of aligning reads to genomes or transcriptomes
- Get familiar with some commonly used tools
- understand the data formats after alignment
- understand post alignment quality control and associated tools
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
Keywords: ChIP-Seq, RNA-Seq, Alignment, Data-format, Assembly, QC
Scientific topics: RNA-Seq, Sequence assembly
Activity log