Bioconductor for Genomic Data Science course for Johns Hopkins University
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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
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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