RNA-Seq with Bioconductor in R, Short Course | Part time online | Data Camp | United States
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RNA-Seq with Bioconductor in R

1 days
Duration
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About

We will start the RNA-Seq with Bioconductor in R course at Data Camp with a brief overview of the RNA-Seq workflow with an emphasis on differential expression (DE) analysis.

Overview

Context

RNA-Seq with Bioconductor in R course at Data Camp is an exciting next-generation sequencing method used for identifying genes and pathways underlying particular diseases or conditions. As high-throughput sequencing becomes more affordable and accessible to a wider community of researchers, the knowledge to analyze this data is becoming an increasingly valuable skill.

Join us in learning about the RNA-Seq workflow and discovering how to identify which genes and biological processes may be important for your condition of interest!

 Starting with the counts for each gene, the course will cover how to prepare data for DE analysis, assess the quality of the count data, and identify outliers and detect major sources of variation in the data.

The DESeq2 R package will be used to model the count data using a negative binomial model and test for differentially expressed genes. Visualization of the results with heatmaps and volcano plots will be performed and the significant differentially expressed genes will be identified and saved.

Programme Structure

Chapters

  • Exploratory data analysis
  • Differential expression analysis with DESeq2
  • Exploration of differential expression results

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

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

  • Introduction to Bioconductor in R
  • Introduction to Data Visualization with ggplot2

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.

Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing

Funding

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RNA-Seq with Bioconductor in R
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