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Johns Hopkins University

Bioconductor for Genomic Data Science

Johns Hopkins University via Coursera

Overview

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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.

Syllabus

  • 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

Reviews

3.0 rating, based on 4 Class Central reviews

3.8 rating at Coursera based on 357 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
    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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