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Analyzing Genomic Data in R

Start exploring the world of computational biology with essential Bioconductor packages and workflows for next-generation sequencing data analysis.
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RSoftware Development16 hours6,602

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Track Description

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.

Prerequisites

There are no prerequisites for this track
  • Course

    1

    Introduction to Bioconductor in R

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

  • Course

    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
Track
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