Differential Gene Expression Analysis By R

🚀 Course Title: Differential Gene Expression Analysis By R

🧬 Course Headline: Unlock the Secrets of Bioinformatics with R, R Studio, Galaxy, NGS, and RNA-Seq Analysis!

👩‍🏫 Course Instructor: Sana Fatimaca

🚀 Course Description:

Embark on a journey into the world of Biological Sciences with our comprehensive online course, "Differential Gene Expression Analysis By R." This course is your gateway to understanding the intricate mechanisms of RNA-Seq analysis and its pivotal role in transcriptional profiling.

🔍 What You'll Learn:

• Introduction to Bioinformatics and Next-Generation Sequencing (NGS): Understand the basics of NGS, focusing on RNA-Seq technology and its significance in modern biological research.

• Data Handling with Galaxy: Master the use of the Galaxy platform for managing and processing your sequencing data, from raw reads to QC-filtered datasets.

• R and RStudio for Bioinformatics: Dive into the world of programming with R, a language tailored for statistical computing and graphics, and learn how to manipulate and analyze biomedical data using RStudio.

• Differential Gene Expression Analysis: Gain expertise in identifying genes or molecular pathways that are differentially expressed (DE) across different conditions, utilizing powerful statistical models within R.

• Interpreting Results and Visualization: Learn to interpret the results of your analysis and visualize your findings through PCA (Principal Component Analysis), box plot graphs, histograms, and heat maps.

Hands-On Experience:

• Access and analyze real datasets from the NCBI Gene Expression Omnibus (GEO), specifically GSE52194, which includes RNA-Seq reads sourced from SRA files.

Who is this course for?

This course is designed for students, researchers, and professionals from all skill levels, especially those:

• With little to no programming or statistical background who are eager to learn.

• Seeking to expand their knowledge in bioinformatics.

• Wanting to perform robust RNA-Seq data analysis.

What You'll Get:

• Complete Course Materials: Including code and slides for a self-paced learning experience.

• Real Data for Analysis: Access to raw FASTQ files extracted from SRA to apply the skills learned during the course.

• Expert Guidance: Receive support and guidance from instructor Sana Fatimaca, an expert in the field of Bioinformatics.

Enroll now and take the first step towards mastering differential gene expression analysis using R! 📊🧬

Key Takeaways:

• Understand and execute a complete workflow for RNA-Seq analysis.

• Learn to use Galaxy and R/RStudio for bioinformatics tasks.

• Interpret and visualize complex biological data.

• Gain practical experience with real datasets from GEO.

• No prior programming or statistical knowledge required!

Join us and be part of the revolution in transcriptional profiling! 🌟🔬

Enroll Today and Transform Your Bioinformatics Skills! 🚀✨