TY - JOUR
T1 - Computational discovery and modeling of novel gene expression rules encoded in the mRNA
AU - Bahiri-Elitzur, Shir
AU - Tuller, Tamir
N1 - Publisher Copyright:
© 2020 The Author(s).
PY - 2020/8
Y1 - 2020/8
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85090027914&partnerID=8YFLogxK
U2 - 10.1042/BST20191048
DO - 10.1042/BST20191048
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C2 - 32662820
AN - SCOPUS:85090027914
SN - 0300-5127
VL - 48
SP - 1519
EP - 1528
JO - Biochemical Society Transactions
JF - Biochemical Society Transactions
IS - 4
ER -