Overview
Context of Analyzing Genomic Data in R track at Data Camp
Are you interested in analyzing next-generation sequencing data but lacking in strong computational skills?
Then, you'll learn about current best-practice workflows for RNA sequencing differential expression analysis, as well as Chip-sequencing data.
Programme Structure
Courses
- RNA-Seq with Bioconductor in R
- Differential Expression Analysis with limma in R
- ChIP-seq with Bioconductor in R
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Biotechnology Data Analytics View 177 other Short Courses in Data Analytics in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Tuition Fee
To always see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing
Funding
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