Simulating the Monty Hall problem in a DNA sequencing machine

Noam Mamet, Gil Harari, Adva Zamir, Ido Bachelet

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The Monty Hall problem is a decision problem with an answer that is surprisingly counter-intuitive yet provably correct. Here we simulate and prove this decision in a high-throughput DNA sequencing machine, using a simple encoding. All possible scenarios are represented by DNA oligonucleotides, and gameplay decisions are implemented by sequencing these oligonucleotides from specific positions, with a single run simulating more than 12,000,000 independent games. This work highlights high-throughput DNA sequencing as a new tool that could extend existing capabilities and enable new encoding schemes for problems in DNA computing.

Original languageEnglish
Article number107122
JournalComputational Biology and Chemistry
Volume83
DOIs
StatePublished - Dec 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 Elsevier Ltd

Keywords

  • DNA computing
  • Monty Hall Problem
  • Next generation sequencing

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