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<b>Calling all <i>Xenopus</i> researchers interested in Disease Models.</b></div>
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<span style="font-family: Georgia, Arial, Helvetica, sans-serif; font-size: 14pt; color: rgb(23, 77, 133);">Alliance Genome Resources Webinar: </span></h4>
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<div style="line-height: 1.2; margin-top: 0px; margin-bottom: 0.5rem;">September 25, 2025. Noon EDT</div>
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<span style="background-color: rgb(255, 255, 0);"><i>Use of model organism data in rare disease diagnostics and disease-gene association discovery.</i></span></div>
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<div>Guest Presenter, Damian Smedley, Professor of Computational Genomics, Queen Mary University of London.</div>
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<div style="font-size: 18.666666px;"><span style="background-color: rgb(255, 255, 0);"><b>Register here:
<a href="https://tinyurl.com/4f9ycybt" title="https://tinyurl.com/4f9ycybt" data-outlook-id="4d17ca13-fe64-4781-b783-822983a16090" style="color: rgb(23, 77, 133); margin-top: 0px; margin-bottom: 0px;">
https://tinyurl.com/4f9ycybt</a></b></span></div>
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<div>Damian Smedley’s research integrates clinical and model organism phenotype data to advance understanding of human disease, leading efforts in the IMPC and MorPhic projects to systematically map gene function and identify disease models. His team co-developed
the Monarch Initiative’s comparison tools and the widely adopted Exomiser software, which prioritizes genetic variants in rare disease sequencing by matching patient phenotypes to known genotype-phenotype associations. Their work supports major initiatives
like the NHS Genomic Medicine Service and explores the impact of missense variants, post-translational modifications, and federated machine learning on multiomics data.</div>
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Professor Smedley’s home page: <a href="https://www.qmul.ac.uk/whri/people/academic-staff/items/smedleydamian.html" title="https://www.qmul.ac.uk/whri/people/academic-staff/items/smedleydamian.html" data-outlook-id="eefc78d2-8610-42c7-a188-fc3eec226200" style="color: rgb(23, 77, 133);">
https://www.qmul.ac.uk/whri/people/academic-staff/items/smedleydamian.html</a></li></ul>
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