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Course Description

.Save when you register for both BIOF 521 and BIOF 540 as a bundle!

This bundle provides a comprehensive introduction to the analysis and interpretation of next-generation sequencing (NGS) data with an emphasis on gene expression and functional genomics. Students will learn to analyze data generated from modern sequencing technologies—including DNA sequencing, RNA sequencing (RNA-seq), and ChIP sequencing (ChIP-seq)—using publicly available datasets and widely adopted bioinformatics platforms. The courses cover the complete analytical workflow, from quality control and preprocessing of raw sequencing data through differential expression analysis, clustering, identification of regulatory elements, and pathway analysis. Students will also examine the molecular mechanisms that regulate gene expression and learn to interpret gene expression patterns within the context of biological pathways, gene regulatory networks, and biomedical research. Through hands-on analyses and an independent project, students will develop practical skills for designing sequencing studies, analyzing genomic data, and communicating biologically meaningful results.

Learner Outcomes

When you complete these courses successfully, you will be able to:
  • Describe the principles, applications, and strengths of major next-generation sequencing technologies, including DNA-seq, RNA-seq, and ChIP-seq
  • Apply bioinformatics tools and publicly available resources to process, analyze, and interpret next-generation sequencing datasets
  • Perform key sequencing data analysis tasks, including quality control, alignment, quantification, differential gene expression analysis, clustering, and visualization
  • Explain the molecular mechanisms that regulate gene expression and describe the multiple layers of gene regulation in eukaryotic cells
  • Identify genomic regulatory elements and evaluate their potential roles in controlling gene expression.
  • Interpret gene expression data in the context of biological pathways, functional enrichment analyses, and gene regulatory networks
  • Communicate sequencing analysis results through effective visualizations, written summaries, and biological interpretation
  • Design an appropriate sequencing and gene expression analysis strategy to address a biomedical or biological research question

Microcredential(s)

These courses apply toward the Bioinformatics Endeavor, Genomics and Sequencing Analysis: Bioinformatics Specialization, and Applied Data Science Foundations for Biomedical Researchers: Bioinformatics Specialization digital badges.

          

Textbook Information

There are no textbooks for purchase required for these courses.

Prerequisites

There are no prerequisites for these courses. 

Refund
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Scholarship and Funding

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Photo Release

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Section Title
2-COURSE BUNDLE - Next Generation Sequencing and Gene Expression Analysis
Type
Online Asynchronous
Dates
Aug 26, 2026 to Dec 08, 2026
Total Cost (Includes $100 non-refundable technology fee per course when applicable)
Eligible Discounts Can Be Applied at Checkout (4 Credits) $1,460.00
Potential Discount(s)
Available for Academic Credit
4 Credit(s)
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