Advances in Deep Learning in Genomics and Proteomics

  Machine learning

The sciences of Genomics and Proteomics hold the keys of much of the biotechnological and medical advances in our future. From vaccines against lethal pandemics to understanding and developing higher quality crops and biological products, figuring out the complex languages of Life is the first step. Machine Learning has always found application in this field of science, but in the past few years we are experiencing breakthrough after breakthrough (ProtBert, AlphaFold2, ESM2), with decade-long problems being solved, and new more exciting problems devised.

We will discuss a brief history of the use of Machine Learning in the fields of Genomics and Proteomics, and showcase some real-life applications from our current and future research at CEITEC-MU. In Alexiou’s lab, we have used neural networks to recognize pre-miRNAs and snoRNAs, DNA G-quadruplexes, trained language models over genomes of several organisms, and currently works on a model that would be able to predict whether a protein backbone entangles itself in a knot (https://en.wikipedia....).

Panagiotis Alexiou, Petr Šimeček (CEITEC - Central European Institute of Technology, Masaryk University)


* 18:30 Welcome chat
* 18:45 Talk
* 19:30 Discussion
* 19:45 Networking (Impact Hub)

Machine Learning Meetups (MLMU) is an independent platform for people interested in Machine Learning, Information Retrieval, Natural Language Processing, Computer Vision, Pattern Recognition, Data Journalism, Artificial Intelligence, Agent Systems and all the related topics. MLMU is a regular community meeting usually consisting of a talk, a discussion and subsequent networking. Except of Prague, MLMU also spread to Brno, Bratislava and Košice.