Deep Learning to Decode Sites of RNA Translation in Normal and Cancerous Tissues

Overview

Journal bioRxiv

Date 2024 Apr 8

PMID 38585907

Authors

Jim Clauwaert

Zahra McVey

Ramneek Gupta

Ian Yannuzzi

Gerben Menschaert

John R Prensner

Affiliations

Soon will be listed here.

Abstract

The biological process of RNA translation is fundamental to cellular life and has wide-ranging implications for human disease. Yet, accurately delineating the variation in RNA translation represents a significant challenge. Here, we develop RiboTIE, a transformer model-based approach to map global RNA translation. We find that RiboTIE offers unparalleled precision and sensitivity for ribosome profiling data. Application of RiboTIE to normal brain and medulloblastoma cancer samples enables high-resolution insights into disease regulation of RNA translation.

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