Icor: improving codon optimization with recurrent neural networks

HIGHLIGHTS

• who: Rishab Jain from the St#3, MA, USA University, Saint Mary`s have published the paper: ICOR: improving codon optimization with recurrent neural networks, in the Journal: (JOURNAL)
• what: The authors propose a novel recurrentneural-network based codon optimization tool ICOR that aims to learn codon usage bias on a genomic dataset of Escherichia coli. The authors demonstrate that sequential context achieved via RNN may yield codon selection that is more similar to the host genome. In this research, six codon optimization techniques were evaluated.
• how: The review shows that many industry . . .
  

   

  

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