The transcript is populated with numerous overlapping codes that regulate all steps of gene expression. Deciphering these codes is very challenging due to the large number of variables involved, the non-modular nature of the codes, biases and limitations in current experimental approaches, our limited knowledge in gene expression regulation across the tree of life, and other factors. In recent years, it has been shown that computational modeling and algorithms can significantly accelerate the discovery of novel gene expression codes. Here, we briefly summarize the latest developments and different approaches in the field.
Review Article| July 14 2020
Computational discovery and modeling of novel gene expression rules encoded in the mRNA
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Shir Bahiri-Elitzur, Tamir Tuller; Computational discovery and modeling of novel gene expression rules encoded in the mRNA. Biochem Soc Trans 28 August 2020; 48 (4): 1519–1528. doi: https://doi.org/10.1042/BST20191048
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