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Transcriptomics Data Analysis using R

Transcriptomics Data Analysis using R

in Transcriptomics > Transcriptomic Data Analysis using R
Created by Sonalika Ray

What you will learn?

This course on Transcriptomics Using R covers the comprehensive journey from raw RNA-Seq data to meaningful biological insights. You will learn how to preprocess data from raw reads to create a gene expression matrix, conduct Differential Gene Expression (DGE) analysis to identify significant gene changes, and perform pathway analysis to understand the biological relevance. Additionally, we will explore network analysis to uncover gene interactions and key network hubs. By the end of this course, you will be equipped to analyze and interpret transcriptomic data effectively using R.

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Course Specifications

Course Duration:
2:00 Hours
Course Credit:
3 Credit
Students:
6
No. of Lessons:
23
Supplementary Material:
0
Creation Date:
29 Oct 2024
Sonalika Ray

Sonalika Ray

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