Skip to main content
SpringerLink
Log in

Technology Mapping of Genetic Circuits

  • Chapter
  • First Online:
Genetic Design Automation

  • 309 Accesses

Abstract

In this chapter, a new standalone tool, GeneTech (extracted from Genetic Technology mapping) is discussed, which automate the process of generating genetic circuits for dedicated Boolean functions. GeneTech performs Boolean optimization, followed by synthesis and technology mapping using a library of genetic logic gates. It takes the Boolean expression of a genetic circuit as input, and then first optimize it. Afterwards, it synthesizes the optimized Boolean expression into NOR-NOT form in order to construct the circuit using the real NOR/NOT gates available in the genetic gates library. In the end, GeneTech performs technology mapping to generate all the feasible circuits, with different genetic gates, to achieve the desired logical behavior. The circuits are generated in the form of standard SBOL representation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 16.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. B. Bartley, J. Beal, K. Clancy, G. Misirli, N. Roehner, E. Oberortner, M. Pocock, M. Bissell, C. Madsen, T. Nguyen, Z. Zhang, J.H. Gennari, C. Myers, A. Wipat, H. Sauro, Synthetic biology open language (SBOL) Version 2.0.0. J. Integr. Bioinform. 12(2), 272 (2015)

    Google Scholar 

  2. A.A.K. Nielsen, B.S. Der, J. Shin, P. Vaidyanathan, V. Paralanov, E.A. Strychalski, D. Ross, D. Densmore, C.A. Voigt, Genetic circuit design automation. Science 352(6281), aac7341–aac7341 (2016)

    Google Scholar 

  3. C.J. Myers, Engineering Genetic Circuits (Chapman and Hall/CRC, New York, 2009)

    Google Scholar 

  4. G.D. Micheli, Synthesis and optimization of digital circuits, in Synthesis and Optimization of Digital Circuits (1994), p. 576

    Google Scholar 

  5. P. Färm, Integrated Logic Synthesis Using Simulated Annealing, PhD thesis (2007)

    Google Scholar 

  6. S. Kirkpatrick, C. Gelatt Jr, M. Vecchi, Optimization by simulated annealing. Science 220(4598), 671–680 (1983)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Center for Quantitative Medicine, UConn Health, University of Connecticut, Connecticut, CT, USA

    Hasan Baig

  2. Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU), Lyngby, Denmark

    Jan Madsen

Authors
  1. Hasan Baig
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jan Madsen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hasan Baig .

1 Electronic Supplementary Material

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Baig, H., Madsen, J. (2020). Technology Mapping of Genetic Circuits. In: Genetic Design Automation . Springer, Cham. https://doi.org/10.1007/978-3-030-52355-8_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-52355-8_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-52354-1

  • Online ISBN: 978-3-030-52355-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation