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7 July 2023 @ 12:00 - 13:30

Deciphering the cis-regulatory code that guides development using interpretable deep learning

Speaker:   Dr Julia Zeitlinger, Investigator at the Stowers Institute for Medical Research and Associate Professor at the University of Kansas Medical Center.

Abstract:  

The cis-regulatory code that instructs gene regulation during development, also known as the genome’s second code, is a fundamentally unresolved problem. Recent progress has provided proof-of-principle evidence that this complex cis-regulatory code can be learned with neural networks. The new approach is fundamentally different from traditional methods in that the sequence rules are learned inside a black box directly from genomic sequences through their ability to better predict a specific genomics data set. This dramatically improves the predictive performance, but requires rigorous approaches for extracting, understanding and validating the learned sequence rules to make sure that they represent biology. I will describe how we use this approach using mouse or Drosophila development as model systems and uncover unexpected sequence rules that we can validate with experiments.

Organizer

IRB Barcelona – Institut de Recerca Biomedica
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Venue

Edifici Cluster I, Aula Fèlix Serratosa
C/ Baldiri Reixac 10-12
Barcelona, Barcelona 08028 Espanya
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Phone
934037171
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