Bioconductor for Genomic Data Science
Johns Hopkins University
Coursera
list 4 sequences
assignment Level : Introductive
chat_bubble_outline Language : English
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About the content

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.

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Syllabus

  • Week 1 - 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 2 - 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 3 - Week Three
    In this week we will cover Basic Data Types, ExpressionSet, biomaRt, and R S4.
  • Week 4 - Week Four
    In this week, we will cover Getting data in Bioconductor, Rsamtools, oligo, limma, and minfi
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Instructors

Kasper Daniel Hansen, PhD
Assistant Professor, Biostatistics and Genetic Medicine
Bloomberg School of Public Health

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The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
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