Less than 2% of the human genome codes for proteins, yet over 70% is transcribed into RNA. The great diversity of non-protein coding RNA transcripts (ncRNAs) and their roles in normal development and disease are confounded by our poor understanding of their biological functions. Given that over 80% of known genetic variants associated with human diseases occur outside of protein-coding regions of the genome, methods for the systematic annotation and classification of ncRNAs are essential to better understand the molecular protagonists of complex diseases. I will present how we are tackling this challenge using comparative genomics, machine learning and the latest single molecule sequencing technologies.

This talk is jointly run by the departments of Quantitative & Comp. Biology, UMontreal/CMM-Fields.

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The Zoom link and connection details are:

Zoom link: https://umontreal.zoom.us/j/94053083646?pwd=RE5aUTdXc3hEbHoyZUFEYksxZ000...

Meeting ID: 940 5308 3646

Passcode: 952444