Big Data & Deep Learning in Genomics
Details
We are excited to host our 4th meetup of AI in Genomics!
In this event, Noam Shomron (TAU) and Yaron Orenstein (BGU) will discuss big data and deep learning solutions in Genomics.
Schedule:
18:00 - Gathering + Pizzas :-)
18:15 - Noam Shomron (Professor @TAU)
"Is Genomics Viable without Big Data?"
High-throughput DNA sequencing, NGS or Deep Sequencing, advance our knowledge in the bio-medical field. However, most experiments are still limited in size. How can we combine both DNA and RNA data, from current experimental models, in order to reach significant clinical decisions?
Professor Noam Shomron heads the Genomic Intelligence Research
Laboratory at the Faculty of Medicine at Tel Aviv University. Prior to
his appointment, he had trained at MIT. At Tel Aviv University,
Shomron leads a multidisciplinary team of scientists focusing on
deepening our understanding of development of diseases in order to
translate information into clinical reality. Shomron's team published
more than 150 scientific papers and applied for more than 30 patents.
19:00 - Yaron Orenstein (Senior Lecturer @BGU)
"Deep learning for protein-RNA interactions"
Protein-RNA binding, mediated through both RNA sequence and structure, plays vital role in many cellular processes, including neurodegenerative-diseases. Modeling the sequence and structure binding preferences of an RNA-binding protein is a key computational challenge. Accurate models will enable prediction of new interactions and better understanding of the binding mechanism.
In the talk, I will describe a new deep learning based approach to learn RNA sequence and structure binding preferences from large biological datasets. I will present results of our algorithm outperforming the state of the art, both in vitro and in vivo. I will give examples of the biological insights we can gain by applying our neural networks to largest datasets of protein-RNA interactions. I will conclude with open questions and a discussion on the success of deep learning in computational biology.
No biological background is assumed.
Yaron is a senior lecturer at the department of Electrical and Computer Engineering, BGU. He spent his post-doctoral training at CSAIL, MIT and Simons Institute, UC Berkeley. Previously, he received his Ph.D and M.Sc degrees from CS and EE, TAU, respectively. Yaron completed his bachelor’s degree in computer science and electrical engineering at TAU