Latest On-Demand Webinars & Online Events

New for 2023, this online event will provide researchers with an opportunity to learn about how spatial biology is helping us to gain a deeper understanding of molecular biology and mechanisms of disease. Speakers will discuss advances in spatial technologies and how they are being applied to provide a more complete picture of cells and complex biological systems in areas such as cancer research and neuroscience.

This webinar will introduce a novel method for parent-of-origin-aware genomic analysis using the long-read capabilities of nanopore sequencing and single-cell DNA template strand sequencing to assign variants to each biological parent with 99% accuracy using only a blood research sample from the child.

In this webinar, you will learn how to extract nuclei from virtually any tissue in just five minutes in an automated and reproducible way.

In this webinar, Dr. Luciane Kagohara from Johns Hopkins Medicine will discuss a novel artificial intelligence method integrating imaging, spatial transcriptomics and single-cell RNA-seq data that has been used to characterize the cell state transitions in pancreatic cancer progression.

This webinar describes how a new platform for high-throughput proteomics was used to identify multiple proteins associated with ovarian cancer. A 22-protein model was derived that discriminates ovarian cancer cases from benign controls with high accuracy.

In this webinar, our expert speaker Dr. Laralynne Przybyla from the University of California San Francisco will focus on her current work at the Laboratory for Genomics Research.

This exclusive Ask Me Anything session delves into the cutting-edge advancements and international policy changes driving sustainability in the laboratory.

In this webinar, our expert speaker Dr. Phillip Kim from the University of Toronto will be discussing the ML methods he currently implements in his lab that enables de novo antibody design. He will also cover ML-based sequence design and scoring methods, as well as diffusion models.

Biological variance poses challenges when using human iPSC-derived cells in vitro, leading to inconsistent experimental results and data variability.

This exclusive AMA event grants you unprecedented access to the pioneering expert Prof. Michael Snyder a distinguished professor at Stanford University known for his ground-breaking work in digitalizing scientific research in the genomics and personalized medicine field.