Molecular sequence data analyses - Quality control and differential gene expression

This course provides an introduction to sequencing reads quality control and differential sequence expression.

Students will learn about the importance of sequencing quality control, the basics of bioinformatics tools for analyzing sequencing data, and the fundamentals of differential sequence expression analysis.

The course will cover topics such as:

  • Introduction to Quality Control for Sequencing Reads
    • Metrics for evaluating read quality
    • Quality control tools for sequencing reads
  • Basics of Bioinformatics Tools for Analyzing Sequencing Data
    • Command line tools for analysis
    • Visualizing data with bioinformatics tools
  • Differential Sequence Expression Analysis
    • Basic concepts of differential expression analysis
    • Statistical methods for analyzing sequencing data
    • Interpretation of results Course Objectives

Upon completion of the course, students will be able to:

  • Demonstrate an understanding of the importance of quality control for sequencing reads
  • Describe the metrics for evaluating read quality
  • Identify quality control tools for sequencing reads
  • Utilize command line tools for analyzing sequencing data
  • Visualize sequencing data with bioinformatics tools
  • Explain the basic concepts of differential expression analysis
  • Implement statistical methods for analyzing sequencing data
  • Interpret the results of differential expression analysis