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Overview
Context
Are you interested in analyzing next-generation sequencing data but lacking in strong computational skills?
In this Analyzing Genomic Data in R course offered by Data Camp, geared towards non-computational biologists, you will learn to use Bioconductor, the specialized repository for bioinformatics software. Then, you'll learn about current best-practice workflows for RNA sequencing differential expression analysis, as well as Chip-sequencing data.
What you will do during this course:
- Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants
- Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.
- Learn to use the Bioconductor package limma for differential gene expression analysis.
- Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.
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
- 2 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Biotechnology Data Analytics View 179 other Short Courses in Data Analytics in United StatesWhat students do after studying
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Academic 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.
Other requirements
General requirements
- There are no prerequisites for this track
- This track is designed for beginners in bioinformatics. Although some basic knowledge of the R programming language is recommended, the Track will include detailed step-by-step instructions on how to use Bioconductor and install the essential packages.
- This Track will provide an introduction to bioinformatics and positions such as bioinformaticians, data scientists, and computational biologists will benefit from this Track.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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