DNA-Based Analog Computing

Daniel Fu; Shalin Shah; Tianqi Song; John Reif

doi:10.1007/978-1-4939-7795-6_23

DNA-Based Analog Computing

Methods Mol Biol. 2018:1772:411-417. doi: 10.1007/978-1-4939-7795-6_23.

Authors

Daniel Fu¹, Shalin Shah², Tianqi Song¹, John Reif^{3

4}

Affiliations

¹ Department of Computer Science, Duke University, Durham, 27708, NC, USA.
² Department of Electrical and Computer Engineering, Duke University, Durham, 27708, NC, USA.
³ Department of Computer Science, Duke University, Durham, 27708, NC, USA. reif@cs.duke.edu.
⁴ Department of Electrical and Computer Engineering, Duke University, Durham, 27708, NC, USA. reif@cs.duke.edu.

PMID: 29754242
DOI: 10.1007/978-1-4939-7795-6_23

Abstract

The field of DNA computation makes use of DNA reactions to do molecular-scale computation. Most works in DNA computation execute digital computations such as evaluation of Boolean circuits. This chapter surveys novel DNA computation methods that execute analog computations, where the inputs and outputs are real values specified by the concentrations of particular DNA strands.

Keywords: Analog; DNA circuit; DNA computation; Molecular computation; Strand displacement.

MeSH terms

Algorithms
Computer Simulation
Computers
Computers, Molecular
DNA / genetics*

Substances

DNA