Skip to main content
HomeR
skill track

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.

RClock16hrsLearn4 coursesTrophyStatement of Accomplishment

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
Group

Training 2 or more people?

Try DataCamp for Business

Loved by learners at thousands of companies


1
Introduction to Bioconductor in R

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

4 hours

James Chapman Headshot

James Chapman

Curriculum Manager, DataCamp

Track statement of accomplishment
Sparkles AI ASSISTANTSign up to use the AI AssistantOur AI assistant is free to use for all registered users. Sign up or login to access the assistant and boost your learning experience.
Discover
For Business

Training 2 or more people?

Get your team access to the full DataCamp platform, including all the features.
DataCamp for BusinessFor a bespoke solution book a demo.

Instructors

  • James Chapman Headshot
    James ChapmanCurriculum Manager, DataCampSee James Chapman's Portfolio
  • Paula Martinez Headshot
  • Mary Piper Headshot
  • John Blischak Headshot

FAQs

Join over 15,140,000 learners and start Analyzing Genomic Data in R today!

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.