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Course Description

Bundled Courses
BIOF 521 I Next Generation Sequencing Analysis
BIOF 544 I High-Throughput Analysis of Transcriptomes

This bundle integrates foundational and advanced concepts in next-generation sequencing (NGS) and transcriptomic data analysis to provide students with a comprehensive, practice-based learning experience. In BIOF 521 (Next-Generation Sequencing Analysis), students learn to work with DNAseq, RNAseq, and ChIP-seq datasets, gaining experience in quality control, alignment, quantification, differential analysis, and visualization using publicly available datasets and open-access platforms such as Galaxy and the NCBI Sequence Read Archive. The course culminates in an independent project in which students design and analyze a sequencing-based research question relevant to their own interests.

Building on this foundation, BIOF 544 (High-Throughput Analysis of Transcriptomes) introduces the complexity of transcriptomic analysis, including splicing, cell-type-specific expression, single-cell sequencing, and spatial transcriptomics. Students learn to interpret gene expression beyond simple differential lists, understand how transcriptomic assays are selected for specific biological questions, and perform hands-on analysis using R and open-source pipelines.
Together, these courses equip students with the conceptual understanding and analytical skills needed to evaluate sequencing approaches, perform reproducible analyses, and apply NGS methodologies to real-world research in molecular biology, biomedical science, and genomics.

Learner Outcomes

When you complete these courses successfully, you will be able to: 

  • Explain core principles underlying next-generation sequencing technologies and transcriptomic assays.
  • Evaluate the strengths and limitations of different sequencing approaches (e.g., DNAseq, RNAseq, ChIP-seq, single-cell RNAseq, spatial transcriptomics) for specific biological research questions.
  • Perform end-to-end sequencing data analysis workflows, including quality control, alignment, quantification, differential analysis, and visualization.
  • Use open-source platforms and resources (e.g., Galaxy, NCBI SRA, R–based toolkits) to perform reproducible analyses.
  • Interpret biological meaning from sequencing and gene expression data, moving beyond gene lists to understand gene regulation, tissue specificity, and cellular heterogeneity.
  • Design and justify an experimental or computational analysis plan involving sequencing data for an independent research problem.

Microcredential(s)

These courses apply towards the Bioinformatics Endeavor digital badge.

Textbook Information

There is no textbook for purchase required for these courses.

Prerequisites

BIOF 521: There are no official pre-requisites. The course assumes you are familiar with general genetics and statistical concepts at the level of undergraduate course work. No prior knowledge of bioinformatics data analysis or programming languages is required. 
BIOF 544: BIOF 501, BIOF 339, or familiarity with R; Basic command line usage or Unix/Linux

Refund

Follow the link to review FAES Tuition Refund Policy.

If you cancel a course, the bundled price no longer applies and you need to pay the individual course and technology fees. 

Scholarship and Funding

Are you a self-funded student? FAES offers scholarship options. Click here for more information and to apply. 

Looking for resources to help you acquire funding for your continued education? Click here for our funding justification guide. 

Photo Release

By registering for this event, you agree to allow FAES to take photographs of you during the event and to use these photos for promotional purposes, including on our website, social media, and marketing materials, without further compensation. You understand that you have no right to review or approve the final use of these images.

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Section Title
2-COURSE BUNDLE - Next-Generation Sequencing Analysis and High-Throughput Analysis of Transcriptomes
Type
Online Asynchronous
Dates
Jan 28, 2026 to May 12, 2026
Total Cost (Includes $75 non-refundable technology fee per course when applicable)
Eligible Discounts Can Be Applied at Checkout (4 Credits) $1,130.00
Potential Discount(s)
Available for Academic Credit
4 Credit(s)
Required fields are indicated by .