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Enhancing variant interpretation: Obtaining answers from a vast universe of data 

Pinpointing pathogenic mutations from large, complex datasets can be difficult, time consuming and somewhat overwhelming. So, how can you best streamline your genomic analysis, to make it quicker, easier and more efficient? In this webinar, we will demonstrate how variant interpretation software can improve the accuracy and speed of variant interpretation, using specific case studies, such as detecting compound heterozygous variants in Charcot-Marie-Tooth Disease, and Alu insertions in breast cancer.  
In these early stages of progress, clear and informative dialogue between experts in the field is vital. No one has the time to read all the papers and preprints necessary to truly ‘stay ahead’. Therefore, a tailored webinar series such as this is the perfect opportunity to learn on the go. 

So, please join us for our next Multi-Omics ONLINE webinar series. This webinar series is a 3-part exploration of some of the most promising developments in multi-omics happening right now.

The rise of AI: How can you use ChatGPT to support your research?

ChatGPT has been taking the world by storm since its release in 2022. From coding assistance to book summaries, people […]

AI in Drug Discovery 2024: Where are we now?

Back in 2020, we covered an industry analysis of the role of Artificial Intelligence in Drug Discovery. The report covered […]

Generative AI: Will New Tech Transform Healthcare?

Artificial intelligence (AI) has found itself at the forefront of the scientific world in recent years. Despite existing as a […]

Diversity in Genomics: Assessing the Mosaic of Human Life

Despite our DNA only differing at around 0.1% of base pairs, human life is complex, unique and varied. Although this […]

Sustainability in the lab: How to make your science greener

Climate change is perhaps the biggest issue the planet is facing at the moment. With the oceans reaching a record […]

How to build AI models that people will trust

AI models are becoming increasingly commonplace in the life sciences field, particularly in drug discovery. But these models are complex, […]

The Big Challenge… With Craig MacLean

With the ever-increasing potential of new technology and the exponential growth of the life sciences field, researchers are always running […]

The Big Challenge… With Mathew Chamberlain

With the ever-increasing potential of new technology and the exponential growth of the life sciences field, researchers are always running […]

AI can accurately detect Parkinson’s disease and define its subtypes

Parkinson’s disease is a clinically heterogenous neurodegenerative disorder, meaning that it is likely that different cellular mechanisms drive its pathology […]