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RNA-Seq with Bioconductor in R

Intermediate
4.2+
15 reviews
Updated 12/2024
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.
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RProbability & Statistics4 hours16 videos44 exercises3,150 XP18,338Statement of Accomplishment

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Course Description

RNA-Seq 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! We will start the course with a brief overview of the RNA-Seq workflow with an emphasis on differential expression (DE) analysis. 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.

Prerequisites

Introduction to Bioconductor in RIntroduction to Data Visualization with ggplot2
1

Introduction to RNA-Seq theory and workflow

Start Chapter
2

Exploratory data analysis

Start Chapter
3

Differential expression analysis with DESeq2

Start Chapter
4

Exploration of differential expression results

Start Chapter
RNA-Seq with Bioconductor in R
Course
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Don’t just take our word for it

*4.2
from 15 reviews
47%
40%
7%
0%
7%
  • kavoos m.
    about 1 year

    Very good and informative

  • Dimitris L.
    about 1 year

    nice course, but I do not have a biology background, which makes a bit harder for me

  • Khánh P.
    about 1 year

    Informative course with high quality contents. The instructor explained the problems and methods clearly. However, the web-based coding practice session sometimes seems buggy

  • Hedda G.
    over 1 year

    The lectures and exercises are very friendly and easy to follow. Feedback is clear.

  • Svitlana K.
    almost 2 years

    RNA-Seq with Bioconductor in R - super curse !

"Very good and informative"

kavoos m.

"nice course, but I do not have a biology background, which makes a bit harder for me"

Dimitris L.

"Informative course with high quality contents. The instructor explained the problems and methods clearly. However, the web-based coding practice session sometimes seems buggy"

Khánh P.

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