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Analyzing Genomic Data in R

更新 2026年3月
Start exploring the world of computational biology with essential Bioconductor packages and workflows for next-generation sequencing data analysis.
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Analyzing Genomic 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, as well as Chip-sequencing data.

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  • Course

    1

    Introduction to Bioconductor in R

    Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

  • Course

    2

    RNA-Seq with Bioconductor in R

    Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

Analyzing Genomic Data in R
4 Courses
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