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QuASeR: Quantum Accelerated de novo DNA sequence reconstruction

In this article, we present QuASeR, a reference-free DNA sequence reconstruction implementation via de novo assembly on both gate-based and quantum annealing platforms. This is the first time this important application in bioinformatics is modeled using quantum computation. Each one of the four step...

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Detalles Bibliográficos
Autores principales: Sarkar, Aritra, Al-Ars, Zaid, Bertels, Koen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8041170/
https://www.ncbi.nlm.nih.gov/pubmed/33844699
http://dx.doi.org/10.1371/journal.pone.0249850
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author Sarkar, Aritra
Al-Ars, Zaid
Bertels, Koen
author_facet Sarkar, Aritra
Al-Ars, Zaid
Bertels, Koen
author_sort Sarkar, Aritra
collection PubMed
description In this article, we present QuASeR, a reference-free DNA sequence reconstruction implementation via de novo assembly on both gate-based and quantum annealing platforms. This is the first time this important application in bioinformatics is modeled using quantum computation. Each one of the four steps of the implementation (TSP, QUBO, Hamiltonians and QAOA) is explained with a proof-of-concept example to target both the genomics research community and quantum application developers in a self-contained manner. The implementation and results on executing the algorithm from a set of DNA reads to a reconstructed sequence, on a gate-based quantum simulator, the D-Wave quantum annealing simulator and hardware are detailed. We also highlight the limitations of current classical simulation and available quantum hardware systems. The implementation is open-source and can be found on https://github.com/QE-Lab/QuASeR.
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spelling pubmed-80411702021-04-20 QuASeR: Quantum Accelerated de novo DNA sequence reconstruction Sarkar, Aritra Al-Ars, Zaid Bertels, Koen PLoS One Research Article In this article, we present QuASeR, a reference-free DNA sequence reconstruction implementation via de novo assembly on both gate-based and quantum annealing platforms. This is the first time this important application in bioinformatics is modeled using quantum computation. Each one of the four steps of the implementation (TSP, QUBO, Hamiltonians and QAOA) is explained with a proof-of-concept example to target both the genomics research community and quantum application developers in a self-contained manner. The implementation and results on executing the algorithm from a set of DNA reads to a reconstructed sequence, on a gate-based quantum simulator, the D-Wave quantum annealing simulator and hardware are detailed. We also highlight the limitations of current classical simulation and available quantum hardware systems. The implementation is open-source and can be found on https://github.com/QE-Lab/QuASeR. Public Library of Science 2021-04-12 /pmc/articles/PMC8041170/ /pubmed/33844699 http://dx.doi.org/10.1371/journal.pone.0249850 Text en © 2021 Sarkar et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sarkar, Aritra
Al-Ars, Zaid
Bertels, Koen
QuASeR: Quantum Accelerated de novo DNA sequence reconstruction
title QuASeR: Quantum Accelerated de novo DNA sequence reconstruction
title_full QuASeR: Quantum Accelerated de novo DNA sequence reconstruction
title_fullStr QuASeR: Quantum Accelerated de novo DNA sequence reconstruction
title_full_unstemmed QuASeR: Quantum Accelerated de novo DNA sequence reconstruction
title_short QuASeR: Quantum Accelerated de novo DNA sequence reconstruction
title_sort quaser: quantum accelerated de novo dna sequence reconstruction
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8041170/
https://www.ncbi.nlm.nih.gov/pubmed/33844699
http://dx.doi.org/10.1371/journal.pone.0249850
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