Workshop 3 - Next Generation Sequencing: A Tutorial and Hands-on Workshop to Help Understand This Emerging Technology

Workshop Registration Fees

  • Members $725.00
  • Non-Members $825.00
  • Student TBD
  • Late-fee $75.00

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IAFP Workshop Cancellation Policy:  Registration fees, less a $100 administration fee and any
applicable bank charges, will be refunded for written cancellations received by June 29, 2023.  No
refunds will be made after June 29, however, the registration may be transferred to a colleague
who is NOT currently registered with written notification.  Registrations cannot be carried to any
future meetings.

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attending, you agree to such usage.

Other:  Any modifications to payment method will incur a $25 processing fee.

Refunds will be processed when received.

Workshop rates are available for students upon request. 

Workshop Description

Next Generation Sequencing (NGS) has taken the Front Stage as a tool to understand the environment around us.  It is being used globally to track outbreak strains of bacteria, monitor microbial communities and understand changes in populations of organisms based on temporal and forced stimuli.  NGS is more complex than past methodologies and has more components that need to be understood. What is NGS? What kind of different sequencers are available, and which one should I choose for my studies? How do I analyze my data? How do I assemble short-read and long-read sequence data? What does the data mean? What is metagenomics and how can I analyze a metagenomic data set? And how is FDA and CDC using NGS data? This expanded two-day workshop (from 1.5 days because of participant feedback) seeks to shed light on these questions so that the student will have ample time to gain a more holistic view of the applications of NGS. We will provide sessions on technology, data analysis and data interpretation that the FDA, CORE, Compliance and CDC, employ for outbreak investigations and regulatory decision-making. Each attendee will be analyzing whole genome sequencing and metagenomic datasets to perform quality control, assembly, build phylogenetic trees, identify genes of interest (such as AMR, virulence and stress response genes) and visualize the data utilizing open-source tools such as GalaxyTrakr, and NCBI Pathogen Detection Website. Upon return from the workshop the knowledge gained, and the tools learned can be implemented for data analysis in your lab.

Who Should Attend

Government, Industry, Academia. 

Workshop Instructors

  • Jennifer Beal, FDA, College Park, MD, USA
  • Laura Gieraltowski, CDC, Atlanta, GA, USA
  • Julie Haendiges, FDA, College Park, MD, USA
  • Leslie Hintz, U.S. Food and Drug Administration College Park, MD, USA
  • Bill Klimke, NCBI Washington, D.C., USA
  • Padmini Ramchandran, FDA, College Park, MD, USA

Workshop Organizers

  • Maria Hoffmann, FDA-CFSAN, College Park, MD, USA
  • Eric Stevens, FDA, College Park, MD, USA