FeaturedUdemy
ChIP-seq with Bioconductor in R
4.7(49)5k studentsINTERMEDIATEEnglish
Korshub's take
The Korshub Take
ChIP-sequencing is a pivotal technique in bioinformatics for examining protein-DNA interactions and gene regulation mechanisms. This intermediate course provides hands-on experience in R with Bioconductor tools, exploring real genomic datasets to investigate regulatory protein activity relevant to disease research.
Who It's For
Bioinformaticians, computational biologists, and researchers in genomics looking to analyze ChIP-seq experiments using Bioconductor and R.
Key Takeaways
- Bioinformatics Workflows: Understand the biological principles of ChIP-seq and protein-DNA regulatory mechanisms.
- Bioconductor Tools: Learn to process, quality-check, and align genomic sequence data using specialized R Bioconductor packages.
- Peak Calling & Analysis: Identify protein binding sites and analyze regulatory regions on real biological datasets.
About this course
ChIP-seq analysis is an important branch of bioinformatics. It provides a window into the machinery that makes the cells in our bodies tick. Whether it is a brain cell helping you to read this web page or an immune cell patrolling your body for microorganisms that would make you sick, they all carry the same genome. What differentiates them are the genes that are active at any given time. Which genes these are is determined by a complex system of proteins that can activate and deactivate genes. When this regulatory machinery gets out of control, it can lead to cancer and other debilitating diseases. ChIP-seq analysis allows us to understand the function of regulatory proteins, how they can contribute to disease and can provide insights into how we may be able to intervene to prevent cells from spinning out of control. In this course, you will explore a real dataset while learning how to process and analyze ChIP-seq data in R.
Advertisement