Course Description

Save a bundle and receive 30% off the individual course rate when you register for both BIOF 521 and GENE 530!

Bundle Courses:

GENE 530 | Leveraging High-Throughput Sequencing in your Research (3-week course in Session A)

BIOF 521   | Bioinformatics for Analysis of Data Generated by Next Generation Sequencing (7-week course in Session B)

In GENE 530, we will examine: First, second, third, fourth… how many generations of sequencing are there now? This course will cover modern sequencing technologies (Illumina, PacBio, Oxford Nanopore) and their applications in studies of RNA species, DNA species, or DNA-protein, RNA-protein interactions. We will provide an overview of high-throughput sequencing (HTS) approaches and provide a framework for deciding which method should be applied to a given question. In their final project, students will develop a HTS experiment which could be used in their current research. This course is intended for biomedical researchers (postbac, graduate) who are preparing to embark on their first high-throughput sequencing experiment or for individuals interested in a refresher on the current state of sequencing (postdoctoral+).
In BIOF 521, students will learn to analyze data generated by a variety of sequencing techniques (such as DNAseq, RNAseq and CHIP-seq) particularly in relation to biomedical applications (such as analysis of gene expression and identification of medically relevant sequence variation). While recorded lectures and readings will provide necessary background, the course emphasizes hands-on, self-paced lessons featuring real-world data sets to give the learner experience with all major steps of sequencing analyses, from filtering of raw data to creating polished figures. As the course progresses, students will work on a term project in which they design a sequencing project based on their own research interests. To make this course accessible to all students, we will focus on the use of publicly available resources, such as the NCBI SRA and the Galaxy platform, that can be accessed from anywhere.

Learner Outcomes

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

  • Design a HTS approach to tackle a question of interest.
  • Experimental design and approach will be guided by the course material in addition to student and instructor feedback.
  • Use this knowledge in your ongoing research
  • Gauge the necessity of using high-throughput sequencing (HTS) techniques and understand hidden pitfalls to qPCR quantitation.
  • Be able to determine the correct flavor of high-throughput sequencing (HTS) for a research question.
  • Discuss HTS experimental considerations. (spike-in controls, library generation, sample controls, biological replicates, normalization)
  • Compare and contrast a variety of modern sequencing techniques and their applications.
  • Utilize and compare several platforms for the analysis of sequencing data.
  • Carry out bioinformatics analyses on biomedically relevant sequencing data sets.
  • Interpret the results of these analyses by generating figures and written summaries.
  • Develop a sequencing and analysis plan for a project relevant to their own research interests


These courses apply toward the Biomedical Sciences Endeavor and the Bioinformatics Endeavor digital badges.



These courses have no official pre-requisites. However, the course material assumes that you are familiar with general genetics and statistics concepts at the level expected from undergraduate coursework. No prior knowledge of bioinformatics data analysis or programming languages is required.

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. 

Thank you for your interest in this course. Unfortunately, the course you have selected is currently not open for enrollment. Please complete a Course Inquiry so that we may promptly notify you when enrollment opens.
Required fields are indicated by .