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A single genome produces the huge diversity of cells and tissues needed to make a human by regulating gene expression to turn on and off the right genes at the right times. The final, post-transcriptional steps of gene expression — RNA processing and translation — are essential to the proper outcome. Our goal is to understand how these layers of regulation are encoded in gene sequences and how disruptions to this regulation can cause disease. Our research uses machine learning and other computational methods, coupled with high-throughput experiments, to understand how post-transcriptional regulation leads to robust and flexible control of gene expression.
A single genome produces the huge diversity of cells and tissues needed to make a human by regulating gene expression to turn on and off the right genes at the right times. The final, post-transcriptional steps of gene expression — RNA processing and translation — are essential to the proper outcome. Our goal is to understand how these layers of regulation are encoded in gene sequences and how disruptions to this regulation can cause disease. Our research uses machine learning and other computational methods, coupled with high-throughput experiments, to understand how post-transcriptional regulation leads to robust and flexible control of gene expression.
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论文共 31 篇作者统计合作学者相似作者
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Elijah F Lyons, Lou C Devanneaux,Ryan Y Muller, Anna V Freitas,Zuriah A Meacham, Maria V McSharry, Van N Trinh, Anna J Rogers,Nicholas T Ingolia,Liana F Lareau
bioRxiv : the preprint server for biology (2023)
medRxiv : the preprint server for health sciences (2021)
medRxiv : the preprint server for health sciences (2021)
biorxiv(2021)
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