Differential Gene Expression Analysis - Your Complete A to Z

🎉 Course Title: Differential Gene Expression Analysis - Your Complete A to Z

🚀 Headline: Become a Bioinformatic Analysis Master: qPCR, RNAseq, Functional Genomics, Transcriptomics, R, RStudio, TUXEDO pipeline

🧬 Course Description: Are you aspiring to be a bioinformatician but feel overwhelmed by the plethora of information and techniques? Or perhaps you're currently grappling with biological data analysis challenges? If you find yourself lost in the jargon of biology, medicine, statistics, or analytics, this is the course for you!

This is not just a course; it's a deep dive into the world of differential gene expression analysis, focusing on next-generation sequencing (NGS), RNAseq, and quantitative PCR (qPCR). With a blend of theoretical knowledge and practical application, you'll emerge as an expert in this field.

What You Will Learn:

📚 Course Overview:

• RNAseq Analysis with R: Master the entire process from FASTQ libraries to differential expression analysis using R.
• qPCR Analysis with R: Get hands-on experience with delta-Ct and delta-delta-Ct methods, as well as experimental design and data interpretation.
• Molecular Biology & Bioinformatics Application: Learn how to apply your biological knowledge to solve complex problems in gene expression analysis.
• Technical Foundations Mastery: Understand the principles of qPCR, microarray, sequencing, and RNAseq.
• Statistical Modelling: Become proficient in using general linear models and non-parametric rank product frameworks for differential gene expression analysis.
• Pathway Analysis Skills: Discover how to use pathway analysis for hypothesis generation.
• Data Visualization Techniques: Learn to effectively visualize your gene expression data to better understand and present your findings.

🔬 Hands-On Experience Includes:

• End-to-End RNAseq Analysis: From FASTQ files to differential expression analysis using R, including alignment, transcriptome assembly, read counting, and more.
• qPCR Data Analysis: Learn to perform qPCR data analysis in R, with a focus on experimental design that ensures robust results.
• TUXEDO Pipeline Familiarity: Gain experience with the TUXEDO pipeline for NGS data analysis from the command line.
• Online Tools Utilization: Discover additional online tools to facilitate your bioinformatics analysis workflow.

📈 Key Features of the Course:

• Comprehensive Curriculum: A complete guide through the complexities of differential gene expression analysis.
• Practical Application: Real-world examples and datasets to apply what you learn directly.
• Expert Instruction: Led by Dr. Alexander Abdulkader Kheirallah, a seasoned professional in bioinformatics.
• Flexible Learning: Access course materials at your own pace, on any device, from anywhere.

🎓 Why Take This Course?

• Become an Expert: Gain the knowledge and skills to conduct independent differential gene expression analyses.
• Career Advancement: Position yourself for career opportunities in bioinformatics, genomics, or biotechnology industries.
• Research Skills: Equip yourself with the tools necessary for conducting cutting-edge biological research.
• Confidence in Data Analysis: Develop confidence in interpreting and presenting complex biological data.

Join us on this journey to unlock the secrets of gene expression and become a master in bioinformatics analysis! 🌟