GCB Academy

Computational Biology Word Art

SPRING 2020 COURSE OFFERINGS - Postponed

**All of our GCB Academy courses have been postponed until further notice.** 

GCB Academy is a series of stand-alone workshops in genome topics offered to Duke faculty, postdocs, graduate students and staff at little to no fee. Sabbatical scholars and other collaborating visitors may request registration and will be accommodated on a space-available basis. The workshops, taught by faculty and staff in GCB, range from 101-style introductions in genomic technologies, computational approaches and mass spectrometer analyses to more focused topics of molecular analysis. They are intended to introduce Duke community members to the field and build capacity in areas to further their own research.

Enrollment for each course is capped at 20 students, and registration closes 10 days before each class. You will receive an enrollment confirmation 10 days before each class. For all courses, a $100 no-show fee will be assessed if you fail to notify us 24 hours before the class begins. In the event you are unable to attend your registered course(s), please contact Alissa Kocer. Many courses have a waitlist and we can offer your spot to another person.

View Past Course Offerings


Introduction to DNA Sequencing Technology 
Date: March 25; 1-5 pm
Registration Deadline: March 18
Instructor: Nicolas Devos
Location: 2240 CIEMAS
Cost: Free 

During the past decade, a new generation of high-throughput DNA sequencers has transformed biomedical and biotechnology research. These new technologies have fostered the development of a wide range of applications to basic and clinical research, including SNP discovery, transcriptome profiling, genome sequencing, and epigenetics. The goal of this introductory course is to teach the basic principles of next generation sequencing technology (NGS) and to present an overview of various library preparations and their applications. Advantages and limitations of various methods will be discussed and compared across technologies/platforms (Illumina, PacBio, Oxford Nanopore, Ion Torrent). This course will also provide an introduction to primary data analysis and data quality assessment steps. Attendees will become familiar with NGS technology terms and fundamentals, NGS data format and quality, and will acquire a better understanding of how to choose a suitable NGS sequencing method or instrument for their study.

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Introduction to RNA-Seq Data Analysis (Limited to 12 participants) *Waitlist Only
Date: April 1; 9 a.m. - 1 p.m.
Registration Deadline: March 25
Instructor: Wei Chen
Location: Soc-Psych 133
Cost: $50 for faculty, postdocs and staff; free for grad students 

This 4-hour tutorial will provide you with a better understanding of the data processing and analysis methods that are used in RNA-seq analysis. We will cover topics such as data quality control, normalization, and calling differentially expressed genes. We will provide hands-on experience that will allow you to go back to your lab and work with your own data.

*Pre-requisites: "Introduction to Unix" and "Introduction to Scientific Computing for Genomics" (or equivalent experience).

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Introduction to Single-Cell RNA-Seq Data Analysis (Limited to 12 participants) 
April 8; 9 a.m. - 1 p.m. 
Registration Deadline: April 1
Instructor: Hélène Fradin 
Location: Perkins-Bostock 023 
Cost: $50 for faculty, postdocs and staff; free for grad students 

This 4-hour hands-on tutorial will provide you with experience working with data from a single-cell RNA-Seq experiment. We will cover quality control, filtering, normalization, clustering, differential expression and mark identification analysis. 

*Pre-requisites: Must have previously taken the GCB Academy “RNA-Seq Analysis” course. 

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Introduction to Microbiome Study Design and Data Analysis (Limited to 12 participants) *Waitlist Only
Date: April 15; 9 a.m. - 1 p.m.
Registration Deadline:  April 8
Instructors: Jennifer Modliszewski and Holly Dressman
Location: Soc-Psych 133
Cost: $50 for faculty, postdocs and staff; free for grad students 

This 4-hour tutorial will first spend time discussing important considerations for the design of your study and the collection of your samples.  It will also introduce you to the data processing and analysis methods that are used in 16S microbiome analysis. We will cover topics such as data quality control, diversity indices, and calling differentially abundant microflora.  We will provide hands-on experience that will allow you to go back to your lab and work with your own data. 

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Refresher on Medical Genetics and Genome Medicine
May 19; 9:30 – 11 a.m. 
Registration Deadline: May 12 
Instructor: Susanne Haga 
location: 2240 CIEMAS 
Cost: Free 

This 90-minute course will provide attendees with an overview of general principles of genetics, genomics and molecular biology, and clinical applications and technologies currently used in clinical practice. In particular, the course will provide an overview of genomics, genome-wide association studies and other large initiatives and a range of testing technologies for diagnosis and treatment. Introduction of new technologies such as liquid biopsies will also be briefly discussed. 

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