Sequencing enabling design and learning in synthetic biology

Research output: Contribution to journalReview article (Academic Journal)peer-review

7 Citations (Scopus)


The ability to read and quantify nucleic acids such as DNA and RNA using sequencing technologies has revolutionized our understanding of life. With the emergence of synthetic biology, these tools are now being put to work in new ways – enabling de novo biological design. Here, we show how sequencing is supporting the creation of a new wave of biological parts and systems, as well as providing the vast data sets needed for the machine learning of design rules for predictive bioengineering. However, we believe this is only the tip of the iceberg and end by providing an outlook on recent advances that will likely broaden the role of sequencing in synthetic biology and its deployment in real-world environments.
Original languageEnglish
JournalCurrent Opinion in Chemical Biology
Publication statusPublished - 6 Aug 2020

Structured keywords

  • BrisSynBio
  • Bristol BioDesign Institute


  • sequencing
  • omics
  • synthetic biology
  • systems biology
  • machine learning
  • biological design


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