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ChIP-seq with Bioconductor in R Data Camp

Highlights
Tuition fee
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Unknown
Duration
1 days
Duration
1 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

In this ChIP-seq with Bioconductor in R course offered by Data Camp you will learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

Overview

Context

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 ChIP-seq with Bioconductor in R course offered by Data Camp, you will explore a real dataset while learning how to process and analyze ChIP-seq data in R.

Programme Structure

Chapters

  • Back to Basics - Preparing ChIP-seq data
  • Comparing ChIP-seq samples
  • From Peaks to Genes to Function

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • New York City, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

PREREQUISITES

  • Intermediate R
  • Introduction to Bioconductor in R

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free
  • Domestic

    In-State
    Free

Additional Details

This course can be accessed for free with the Data Camp Premium or Teams subscriptions

Funding

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