Bioconductor for Genomic Data Science

8 hours to complete
Flexible Schedule

Kasper Daniel Hansen, PhD

Skills You’ll Gain

Programming Principles Software Installation Package and Software Management Bioinformatics Data Manipulation Data Analysis Software R Programming Data Import/Export Statistical Programming Data Structures

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There are 4 modules in this course

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.

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.

In this week we will cover Basic Data Types, ExpressionSet, biomaRt, and R S4.

In this week, we will cover Getting data in Bioconductor, Rsamtools, oligo, limma, and minfi