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EdeLab & Research Explained!

Edel Perez-Lopez

We’re using NotebookLM to create fun and engaging conversations about the work we're doing. Our goal is to share our discoveries with everyone, making science more accessible and boosting the impact of what we find. We hope you enjoy learning with us!

PublishesDailyEpisodes80Foundeda year ago
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Latest Episodes

Research on clubroot in Brassicaceae suffers from a proliferation of names assigned to resistance (R) genes that are, in fact, identical. To date, only three genes have been truly validated: CRa, Crr1a, and RPB1. The authors call for a standardized n... more

La recherche sur la hernie des Brassicacées souffre d’une redondance de noms pour des gènes de résistance (R) pourtant identiques. À ce jour, seuls trois gènes ont été véritablement validés : CRa, Crr1a et RPB1. Les auteurs recommandent l’adoption d’... more

La investigación sobre la hernia de las Brassicáceas enfrenta una fuerte redundancia de nombres para genes de resistencia (R) que en realidad son los mismos. Hasta ahora, solo tres genes han sido validados de manera sólida: CRa, Crr1a y RPB1. Los aut... more

AlphaGenome es un modelo de IA que predice efectos de variantes genéticas con alta resolución. Analiza secuencias de ADN de 1 Mb para modelar simultáneamente expresión génica, splicing y accesibilidad. Supera a modelos especializados, facilitando la ... more

AlphaGenome is an AI model that predicts the effects of genetic variants with high resolution. It analyzes 1 Mb DNA sequences to simultaneously model gene expression, splicing, and accessibility. It outperforms specialized models, enabling more accur... more

AlphaGenome est un modèle d’IA qui prédit les effets des variantes génétiques avec une haute résolution. Il analyse des séquences d’ADN de 1 Mb pour modéliser simultanément l’expression génique, l’épissage et l’accessibilité. Il dépasse les modèles s... more

Esta fuente académica propone integrar la inteligencia artificial y herramientas moleculares para transformar el manejo de plagas hacia una agricultura resiliente y sostenible. El texto sostiene que los modelos de aprendizaje profundo, como las redes... more

Cette source académique propose d’intégrer l’intelligence artificielle et des outils moléculaires afin de transformer la gestion des ravageurs vers une agriculture résiliente et durable. Elle soutient que les modèles d’apprentissage profond, tels que... more

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