Workshop Alert: Introduction to R for Omics Data Analysis 💻#bioinformatics #rprogramming #omics

Ever wondered how scientists identify genes that change between conditions? Identifying these differentially expressed genes is crucial in understanding biological processes.

Here's where R programming comes into play! ✨

We can use DESeq2 to analyze RNA-Seq data and visualize DEGs with two powerful plots:


𝟏. 𝐌𝐀 𝐏𝐥𝐨𝐭: This plot reveals the relationship between the average expression level (M) and the fold change (A) of a gene. Genes with high fold changes (up or down) tend to be further away from zero on the y-axis.


𝟐. 𝐕𝐨𝐥𝐜𝐚𝐧𝐨 𝐏𝐥𝐨𝐭: This plot highlights both fold change (x-axis) and statistical significance (y-axis, typically -log10(p-value)). Genes with a significant change (low p-value) and a large fold change (positive or negative) stand out like volcanic peaks!

Both plots are crucial for identifying differentially expressed genes (DEGs) in RNA-Seq data analysis.


𝐖𝐚𝐧𝐭 𝐭𝐨 𝐦𝐚𝐬𝐭𝐞𝐫 𝐭𝐡𝐞𝐬𝐞 𝐭𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞𝐬 𝐚𝐧𝐝 𝐮𝐧𝐥𝐨𝐜𝐤 𝐭𝐡𝐞 𝐩𝐨𝐰𝐞𝐫 𝐨𝐟 𝐑 𝐟𝐨𝐫 𝐎𝐦𝐢𝐜𝐬 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬?


Enroll in our upcoming workshop on "Introduction to R for Omics Data Analysis"! We'll guide you through DESeq2 analysis, generating stunning visualizations like these, and empower you to explore your own data.


📅 Date: May 15 - May 17, 2024
🕒 Time: 7:00 PM IST | 8:30 AM CST
📍 Location: Online

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#R #Programming #Coding #Bioinformatics #DataScience #Workshop #OnlineTraining #Certification #DataAnalysis #RStudio #DataVisualization #ggplot2 #StatisticalAnalysis #Bioconductor #Limma #DESeq2 #clusterProfiler #PathwayAnalysis #RNASeq #NGS #Networking #Technology