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.
Bioconductor for Genomic Data Science
Bioconductor for Genomic Data Science
This course is part of Genomic Data Science Specialization
Instructor: Kasper Daniel Hansen, PhD
Sponsored by Johns Hopkins University
23,743 already enrolled
Gain insight into a topic and learn the fundamentals.
3.8
(372 reviews)
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
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Assessments
4 assignments
Taught in English
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This course is part of the Genomic Data Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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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.
What's included
16 videos3 readings1 assignment
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.
What's included
8 videos1 assignment
In this week we will cover Basic Data Types, ExpressionSet, biomaRt, and R S4.
What's included
9 videos1 assignment
In this week, we will cover Getting data in Bioconductor, Rsamtools, oligo, limma, and minfi
What's included
7 videos1 reading1 assignment
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