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GENEWIZ Week 2023 Workshops

Thank you for joining us for GENEWIZ Week 2023. Our workshops are now all available on-demand at the links below. Watch as our experts in next generation sequencing, PCR technologies, synthesis, and more discuss how to optimize your workflows, from quantifying and detecting nucleic acids to vector packaging for cell and gene therapy development, so you can focus on what’s important – your research.

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Ayesha Chowdhury, Ph.D.

Scientist II, Technical Support, Azenta Life Sciences


Zain Alvi, Ph.D.

Senior Bioinformatics Scientist, Azenta Life Sciences


Using Sanger to Complement ONT Whole Plasmid Sequencing

Recent advances in long-read technology have enabled rapid and efficient sequencing of entire plasmids. Many scientists are leveraging this rapid ONT approach to provide full sequence maps of their plasmid constructs compared to single or 2X Sanger coverage of insert sequences.

Our team will introduce ONT technology for full plasmid sequencing and its known limitations, as well as offer recommendations for designing a Sanger-based complementary sequencing approach for varying ONT projects. During the roundtable portion, we will have Sanger, ONT, and bioinformatics experts on hand to address your questions.

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Crystal Richardson, Ph.D.

Business Partnership Manager, Azenta Life Sciences


Antibody Sequencing to Synthesis: An Innovative Workflow Leveraging Machine Learning to Prioritize Leads

Antibody generation and validation can take 6-12 months, involving extensive wet lab labor and costly resource usage. Even after an elaborate antibody campaign, candidates often have developability issues, resulting in late-stage failure.

To address these inefficiencies, we present an innovative antibody screening workflow leveraging NGS and our bioinformatic platform, AbXtract™, a powerful heuristics and machine learning tool to generate a diverse list of antibody candidates for recombinant production, powered by OpenEye and developed by Specifica. This solution makes discovery and development of mAb therapies quicker and more efficient, resulting in promising biophysical profiles for commercialization.

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Prassanna Rao, Ph.D.

Technical Applications Scientist, Azenta Life Sciences


Unlocking Lentivirus Potential: Benefits, Challenges & Production Efficiency

Lentiviral vectors are powerful cell engineering tools due to their stable genomic integration of the transgene and ability to infect all species/tissues/cell types. Lentivirus plays a critical role in the emergence of cell therapies through genetic modifications, such as CAR-T therapy, and introducing gene editing machinery into cells to identify novel drug targets and enable large-scale screening.

Here, we will offer an overview of lentivirus, including insights into its development process and the unique challenges it poses, as well as present complete workflow solutions, from synthesis to production, to tackle these challenges and optimize downstream success. Stay for the roundtable after the presentation to discuss your lentiviral research with our experts!


Devon Lonabaugh

Associate Customer Support Scientist II, Molecular Genetics, Azenta Life Sciences


How Does It All Add Up? Quantitative PCR (qPCR) Vs. Digital PCR (dPCR)

Many researchers rely on qPCR for various applications; its low cost and established workflows make it an attractive assay for the quantification and detection of nucleic acids. As qPCR technology becomes more widely used, however, its limitations become more evident. dPCR offers higher precision, a lower limit of detection, and a unique workflow that expands the capabilities of its predecessor, taking PCR technology into a new era.

Our team will discuss the advantages and disadvantages of each method, focusing on applications where dPCR excels. Following the presentation, Azenta experts will discuss transitioning from qPCR to dPCR and answer any questions you may have during the roundtable discussion.

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Brian Sereni, M.Sc.

Manager, Bioinformatics, Azenta Life Sciences


RNA-Seq Bioinformatics

RNA-Seq is a powerful NGS tool used to study gene expression and transcriptome profiling within a cell. However, analyzing the tremendous amount of data generated from RNA-Seq can be a daunting task, especially if you are new to bioinformatics.

Here, we will guide you through a typical bioinformatics pipeline for RNA-Seq data, offering step-by-step instructions so you can learn how to efficiently analyze NGS results and gene ontology data. Following the presentation, our bioinformatics experts will be available to address your questions regarding RNA-Seq bioinformatics analysis.