Skill Track

Analyzing Next-Generation Sequencing Data in R

Are you interested in analyzing next-generation sequencing data but lacking in strong computational skills? In this skills track, geared towards non-computational biologists, you will learn to use Bioconductor, the specialized repository for bioinformatics software, along with essential Bioconductor packages. Then, you'll learn about current best-practice workflows for RNA sequencing differential expression analysis, analyzing single-cell RNA sequencing data, as well as Chip-sequencing data.

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  • R
  • 20 hours
  • 5 courses
1
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Introduction to Bioconductor

Learn to use essential bioconductor packages using datasets from virus, fungus, human and plants!

4 hours
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Paula Martinez

Data Scientist

3
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Differential Expression Analysis in R with limma

Learn to use the Bioconductor package limma for differential gene expression analysis.

4 hours
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John Blischak

Postdoctoral Scholar at University of Chicago

Instructors

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Paula Martinez

Data Scientist

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Mary Piper

Bioinformatics Consultant and Trainer

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John Blischak

Postdoctoral Scholar at University of Chicago

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