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Online Course

Bioconductor for Genomic Data Science

Johns Hopkins University via Coursera

Overview

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

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Reviews

3.0 rating, based on 4 reviews

Start your review of Bioconductor for Genomic Data Science

  • Brandt Pence completed this course, spending 4 hours a week on it and found the course difficulty to be medium.

    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 the...
  • Chrys completed this course, spending 10 hours a week on it and found the course difficulty to be hard.

    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.
  • Colin Khein completed this course.

  • Anonymous

    Anonymous is taking this course right now.

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