This workshop explains how high-throughput sequence data is generated: how do you go from purified DNA toFASTQ files. The Introduction to High-Throughput Sequencing workshop is offered in cooperation with the Quantitative Methods for HIV Researchers workshop series, which has followup workshops on RNA-Seq and scRNA-Seq.

This workshop covers the experimental details of how amplicon sequence data is generated (e.g. 16S rRNA sequencing) and hands-on analysis of amplicon data.

This workshop also assumes that you have experience with R and working with RStudio in Open OnDemand (these were covered in the fall workshop series) and a detailed understanding of how high-throughput sequencing works. These topics were covered in earlier workshops, so if you missed these and do not have this background you are strongly encouraged to review recordings of workshops that cover this material

For R and RStudio: Workshops 01-07

For High-Throughput Sequencing: Workshop 14

These workshop recordings can be found here:

https://www.youtube.com/playlist?list=PL_H2eLFJMC-HglQQ076vVgHsXQVVDAdwz

Register by April 3rd 

We encourage those interested to register for both parts 1 and 2, although this is not required and each can be taken alone.   Please note that you must attend each session you register for or you will be responsible for a $25 Claude setup fee.  Additionally, you must register by the deadline in order to receive your Claude access.

In just the last few months, rapid advances in AI have begun to transform software engineering and data analysis at a remarkable pace. These new tools such as Claude code hold the potential to democratize data analysis but it remains far from clear how to use these systems most effectively, or how best to test and validate the rapidly produced results they generate. “Using Claude Code for Bioinformatics Analyses” is a hands-on class designed to help students and researchers understand how AI-assisted coding can be used productively and responsibly in modern bioinformatics workflows. The course explores how Claude Code can serve as a collaborative programming partner for tasks such as data cleaning, scripting, statistical analysis, visualization, pipeline development, and the interpretation of genomic, microbiome, and other high-throughput biological data. Along the way, participants will learn not only how to generate and refine code efficiently, but also how to critically evaluate AI-generated output, debug workflows, document analyses, and maintain reproducibility. The goal is to help researchers use AI as a powerful and thoughtful analytical tool rather than a black box, making bioinformatics work faster, more accessible, and more rigorous while not sacrificing scientific quality.  Students are encouraged to bring their own datasets to perform analyses in “real-time” during the class.   Instructor:  Dr. Anthony Fodor, UNC Charlotte.

Register by April 3rd 

We encourage those interested to register for both parts 1 and 2, although this is not required and each can be taken alone.   Please note that you must attend each session you register for or you will be responsible for a $25 Claude setup fee.  Additionally, you must register by the deadline in order to receive your Claude access.

In just the last few months, rapid advances in AI have begun to transform software engineering and data analysis at a remarkable pace. These new tools such as Claude code hold the potential to democratize data analysis but it remains far from clear how to use these systems most effectively, or how best to test and validate the rapidly produced results they generate. “Using Claude Code for Bioinformatics Analyses” is a hands-on class designed to help students and researchers understand how AI-assisted coding can be used productively and responsibly in modern bioinformatics workflows. The course explores how Claude Code can serve as a collaborative programming partner for tasks such as data cleaning, scripting, statistical analysis, visualization, pipeline development, and the interpretation of genomic, microbiome, and other high-throughput biological data. Along the way, participants will learn not only how to generate and refine code efficiently, but also how to critically evaluate AI-generated output, debug workflows, document analyses, and maintain reproducibility. The goal is to help researchers use AI as a powerful and thoughtful analytical tool rather than a black box, making bioinformatics work faster, more accessible, and more rigorous while not sacrificing scientific quality.  Students are encouraged to bring their own datasets to perform analyses in “real-time” during the class.   Instructor:  Dr. Anthony Fodor, UNC Charlotte.

This workshop is from 2-5pm! Taught by Dr. Cynthia Gibas and Dr. Jessica Roseberry, UNC Charlotte.   Registered participants will receive an email with further information about the course (virtual).

Taught online by Dr. Joshua Granek of Duke University.  Registration closed 9/22/25

Taught online by Drs McCarthy and Barfield of Duke University.  Registration closed 9/22/25

Taught online by Drs McCarthy and Barfield of Duke University.  Registration closed 9/22/25

Taught online by Drs McCarthy and Barfield of Duke University.   Registration closed 9/22/25

Taught online by Dr. Joshua Granek of Duke University.  Registration closed 9/22/25

Taught online by Dr. Misty Thomas of NC A & T. Registered participants will receive an email with information about the course.

Taught online by Dr. Cynthia Gibas and Dr. Jessica Schlueter from  UNC Charlotte.  Registered participants will receive an email with information about the course. The deadline to register for this workshop is September 4, 2025.

Taught online by Dr. Joshua Granek of Duke University.  Registered participants will receive an email with information about the course, including information about setting up an NCShare account. The deadline to register for this workshop is September 11, 2025.

Taught online by Illumina staff. Registered participants will receive an email with information about the course. The deadline to register for this workshop is September 18, 2025.

Taught online by Illumina staff IN PERSON at both Duke University and NC A & T University. Registered participants will receive an email with information about the course. The deadline to register for this workshop is October 8, 2025.

Taught online by Dr. Joshua Granek of Duke University.

Taught online by Dr. Joshua Granek of Duke University. Registered participants will receive an email with information about the course.

Taught online by Dr. Joshua Granek of Duke University. Registered participants will receive an email with information about the course. The deadline to register for this workshop is March 3rd, 2025.

Taught online by Dr. Anthony Fodor of UNC Charlotte. Registered participants will receive an email with information about the course. The deadline to register for this workshop is March 17th, 2025.

Taught online by Dr. Cynthia Gibas and Dr. Jessica Schleuter of UNC Charlotte. Registered participants will receive an email with information about the course. The deadline to register for this workshop is March 24th, 2025.

Taught online by Dr. Cynthia Gibas and Dr. Jessica Schleuter of UNC Charlotte. Registered participants will receive an email with information about the course. The deadline to register for this workshop is March 31st, 2025.