Are you a researcher delving into genome-wide chromatin conformation using traditional Hi-C methods? If so, you’ll want to explore the groundbreaking Dovetail® TopoLink™ Assay. This innovative solution not only simplifies the Hi-C workflow but also tackles high sequencing costs and uneven genomic coverage. And the best part? The entire process can be completed in just one day!

In this webinar, you’ll gain insights into:

~ The limitations of traditional Hi-C workflows.
~ How TopoLink™ chemistry revolutionizes Hi-C data generation.
~ Why TopoLink™ data outperforms restriction enzyme-based Hi-C for chromatin conformation analysis.
~ Practical considerations and solutions for experimental setup and data analysis.

Don’t miss this opportunity to stay ahead in your Hi-C research.
Join us and be part of the Hi-C revolution with TopoLink™ Assay!

Presented by:  Yasuhiro Murakawa

Advancements in genomics have revolutionized our understanding of gene regulation, paving the way for ground-breaking discoveries in various fields, from developmental biology to disease research. At the forefront of this transformative landscape is the Dovetail Pan Promoter Panel, a genomics tool designed to unravel the intricacies of gene regulation.

In this seminar, we invite you to embark on a journey into the world of regulatory genomics and explore the power of the Dovetail Pan Promoter Panel. Led by renowned experts in the field, this seminar will delve into the unparalleled capabilities of the panel and its potential to unlock the hidden secrets of gene expression.

Join us for an insightful talk on 3D Genomics, where we will walk you through what is involved in designing and running a 3D Genomics experiment in the lab, sharing tips and best practices.

We will also highlight how to QC the library, and what resources are available to navigate data processing. There will also be an opportunity to ask questions to our expert scientist.

What you’ll learn:

~ How to design a 3D Genomics experiment.
~ What is involved in running a 3D Genomics experiment in the lab.
~ How to navigate data processing and QC analysis.

Join us for an insightful talk on 3D Genomics, where we explore the vital role of chromosome folding and spatial organization in gene regulation, and its seamless integration with multi-omic strategies such as transcriptomics and epigenomics. Discover real-world applications of 3D Genomics in gene regulation and oncology, including oncogenic regulation in multiple myeloma and enhancer hijacking in prostate cancer. Plus, learn how to effectively incorporate 3D Genomics into your research.

What you’ll learn:

~ How 3D Genomics fits into the multi-omic toolbox (including ChIP-seq & ATAC-seq).
~ What information 3D Genomics uniquely unlocks.
~ Why integrating 3D Genomics provides valuable insight into your research.

Genomic research has come a long way since the draft of the human genome was first published over two decades ago, driven by the continuous advancements in next-generation sequencing (NGS) technologies. One of the most transformative methods to emerge from these developments is Hi-C, a library preparation technique that provides unique insights into the three-dimensional organization of the genome. However, analyzing Hi-C data presents its own set of challenges, particularly regarding data normalization. In this webinar, we’ll delve into the intricacies of Hi-C data normalization, providing you with an understanding of its importance and the various tools and methods available for this critical step in the analysis pipeline.

Presented by:  Myriam Elkhawand, Ph.D.

3D genomics explores the influence that chromatin architecture plays in gene regulation. The primary method employed is Hi-C. With Hi-C coming in many flavors and forms, it can be overwhelming to know which assay is going to work best for your research goals.

Join us for this technical webinar where we will go into the ins and outs of the different Hi-C methods and chemistries, provide guidance on when to choose a particular option, and discuss the implications of that choice.

Ellie Armstrong, Ph.D. Candidate Stanford University

Steven Salzberg, Ph.D. Johns Hopkins University

Anthony Geneva, Ph.D. Drexel University

Susan Strickler, Ph.D. Boyce Thompson Institute