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Johns Hopkins University

Bioconductor for Genomic Data Science

Johns Hopkins University via Coursera


Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University.


  • Week One
    • The class will cover how to install and use Bioconductor software. We will discuss common data structures, including ExpressionSets, SummarizedExperiment and GRanges used across several types of analyses.
  • Week Two
    • In this week we will learn how to represent and compute on biological sequences, both at the whole-genome level and at the level of millions of short reads.
  • Week Three
    • In this week we will cover Basic Data Types, ExpressionSet, biomaRt, and R S4.
  • Week Four
    • In this week, we will cover Getting data in Bioconductor, Rsamtools, oligo, limma, and minfi

Taught by

Kasper Hansen


3.0 rating, based on 4 Class Central reviews

3.8 rating at Coursera based on 359 ratings

Start your review of Bioconductor for Genomic Data Science

  • Brandt Pence
    The Bioconductor course is technically sixth in the Genomic Data Science specialization, although I skipped directly to this after taking the third course covering Python. The course covers a bit of basic R programming (although experience with R at…
  • Profile image for Chrys
    While the instructor is really good. The course is way to fast paced. For an R beginner, I highly doubt that you will have a good time. The quizzes are pretty hard and more often then not you will have problems with the Versions of R and the packages. I would not recommend this course.
  • Anonymous

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