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ChIP-seq with Bioconductor in R

Intermediate
Updated 04/2025
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.
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RProbability & Statistics4 hours13 videos46 Exercises3,650 XP4,871Statement of Accomplishment

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Course Description

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.

Prerequisites

Intermediate RIntroduction to Bioconductor in R
1

Introduction to ChIP-seq

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2

Back to Basics - Preparing ChIP-seq data

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3

Comparing ChIP-seq samples

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4

From Peaks to Genes to Function

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ChIP-seq with Bioconductor in R
Course
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