Program Objectives:

• Understand RNA-Seq technology and its applications in gene expression and transcriptome analysis.
• Gain proficiency in RNA-Seq data preprocessing, quality control, and alignment using R and Bioconductor.
• Perform differential expression analysis with R-based tools like edgeR, DESeq2, and limma.
• Visualize RNA-Seq data using key techniques such as heatmaps, PCA plots, and volcano plots.
• Conduct pathway enrichment and gene ontology analysis to derive biological insights from RNA-Seq data.

What you will learn?

Module 1: Foundations of RNA-Seq Data Analysis Using R and Bioconductor & Core Biological Principles

• Introduction to RNA-Seq technology and the biological principles behind RNA sequencing.
• RNA-Seq technology, core biological principles, data structures, and initial processing.
• Establish a foundational understanding of RNA-Seq and its biological relevance.

Module 2: Laboratory Techniques, Protocols, and Data Collection

• Explore lab techniques, protocols, and processes for RNA-Seq data generation.
• RNA isolation, library preparation, sequencing, and data collection techniques.
• Learn the practical aspects of collecting high-quality RNA-Seq data for analysis.

Module 3: Bioinformatics Tools and Computational Analysis

• Hands-on experience with bioinformatics tools and computational analysis for RNA-Seq.
• R programming, Bioconductor, data processing, differential expression analysis.
• Gain proficiency in applying bioinformatics tools for RNA-Seq analysis.

Module 4: Research Methodology and Experimental Design

• Learn research methodologies and experimental design principles for RNA-Seq studies.
• Experimental design, hypothesis formulation, sample size calculation, data collection strategy.
• Develop the skills to design effective RNA-Seq experiments aligned with research goals.

Module 5: Advanced RNA-Seq Data Analysis Using R and Bioconductor Applications and Translational Research

• Advanced techniques for analyzing RNA-Seq data with a focus on translational research.
• Advanced differential expression analysis, functional enrichment, multi-omics integration.
• Master the skills required to apply RNA-Seq in translational research and complex biological systems.

Module 6: Regulatory Compliance, Bioethics, and Safety Standards

• Understanding the ethical and regulatory aspects of RNA-Seq research.
• Bioethics, regulatory standards, safety practices in genomic research.
• Conduct RNA-Seq research while adhering to ethical guidelines and compliance standards.

Module 7: Industry Applications, Career Pathways, and Case Studies

• Explore industry applications, career opportunities, and real-world case studies in RNA-Seq.
• RNA-Seq applications in biotech, pharmaceuticals, diagnostics, and beyond.
• Understand how RNA-Seq is applied in industry and gain insights into career pathways.

Module 8: Publication-Ready Research and Scientific Documentation

• Learn how to document RNA-Seq research for publication.
• Research paper writing, reporting standards, scientific documentation for RNA-Seq analysis.
• Produce professional, publication-ready documentation for RNA-Seq studies.

Module 9: Capstone: End-to-End RNA-Seq Data Analysis Using R and Bioconductor Research Project

• Conduct a comprehensive research project that covers the entire RNA-Seq analysis workflow.
• End-to-end RNA-Seq analysis from raw data to biological insights.
• Complete a capstone project that demonstrates your full proficiency in RNA-Seq data analysis.