Join us for Genomics in Drug Discovery ONLINE, a unique 3-part webinar series, where we explore the role of genetics and genomics in modern drug discovery and determine how we can better leverage ever-improving technologies to benefit patients.
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Tuesday 10th May at 3pm BST/4pm CET/10am EST
Since it was discovered that drug targets with a genetic basis are twice as likely to be approved, drug discoverers have increasingly been turning to the genome in search of their latest target.
In this webinar, we explore how drug hunters are fuelling the next era of research with the power of genomics and other omics, to unlock new drugs and bring therapies closer to patients.
- Therapeutic Discovery Platform Supported by Computational Biology
– Jun Yin, Associate Director, Bioinformatics, Ferring Pharmaceuticals
- Translational biomarkers: using genomics to define combination therapy in cancer patients
– Tereza Vaclova, Senior Scientist, AstraZeneca
- It’s a protein world: proteomics applications for drug discovery
– Yann Abraham, Senior Principal Data Scientist for the AI/Genomics Initiative, Janssen
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Tuesday 17th May at 3pm BST/4pm CET/10am EST
Targeting genetic perturbations and screening for phenotypes of interest has been made easy with the implementation of CRISPR-based genome editing. However, currently there are limited studies that benchmark methods for gene-level hits from genome-wide CRISPR screens.
This webinar focuses on the challenges of CRISPR screening and the implementation within genomic-based drug discovery.
- Applications of arrayed CRISPR screens for target identification in drug discovery
–Lishu Duan, Principal Scientist I – In Vitro Pharmacology, AbbVie
- The Power of Single Cell and CRISPR Screening
– Stephen Hague, Managing Lead Science & Technology Advisor EMEA, 10x Genomics
- A rapid CRISPR competitive assay for in vitro and in vivo discovery of potential drug targets affecting the hematopoietic system
– Fredrik Wermeling, Associate Professor, Karolinska Institute
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Tuesday 24th May at 3pm BST/4pm CET/10am EST
The increasingly large volumes of data that are being collected using different genomics technologies and data science approaches are creating an increased need for new integration methods and algorithms.
Join this webinar to discover new advances and the implementation of genomic data for predictive models.
- Using Omicsfold to integrate, mine and infer new insights from multiomic big data
– Shameer Khader, Senior Director (AI/ML, Data Science, Digital Health and Bioinformatics), AstraZeneca
- Integrating public and commercial datasets and interpretation guidelines for genomic data analysis – Alex Joyner, Application Scientist, VarSome
- Using Varsome Annotation for Disease Burden Estimation and Variants Prioritization
– Star Chen, Scientist (Data Science), Agios and Sean Corbett, Scientist, Agios
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