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Deep learning to decode sites of RNA translation in normal and cancerous tissues.


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.

SUBMITTER: Clauwaert J 

PROVIDER: S-EPMC10996544 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature

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Deep learning to decode sites of RNA translation in normal and cancerous tissues.

Clauwaert Jim J   McVey Zahra Z   Gupta Ramneek R   Yannuzzi Ian I   Menschaert Gerben G   Prensner John R JR  

bioRxiv : the preprint server for biology 20240325


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-r  ...[more]

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