Rapid and robust assembly and decoding of molecular tags with DNA-based nanopore signatures

Kathryn Doroschak; Karen Zhang; Melissa Queen; Aishwarya Mandyam; Karin Strauss; Luis Ceze; Jeff Nivala

doi:10.1038/s41467-020-19151-8

Nature Communications (Nov 2020)

Rapid and robust assembly and decoding of molecular tags with DNA-based nanopore signatures

Kathryn Doroschak,
Karen Zhang,
Melissa Queen,
Aishwarya Mandyam,
Karin Strauss,
Luis Ceze,
Jeff Nivala

Affiliations

Kathryn Doroschak: Paul G. Allen School of Computer Science & Engineering, University of Washington
Karen Zhang: Paul G. Allen School of Computer Science & Engineering, University of Washington
Melissa Queen: Paul G. Allen School of Computer Science & Engineering, University of Washington
Aishwarya Mandyam: Paul G. Allen School of Computer Science & Engineering, University of Washington
Karin Strauss: Microsoft Research
Luis Ceze: Paul G. Allen School of Computer Science & Engineering, University of Washington
Jeff Nivala: Paul G. Allen School of Computer Science & Engineering, University of Washington

DOI: https://doi.org/10.1038/s41467-020-19151-8
Journal volume & issue: Vol. 11, no. 1
pp. 1 – 8

Abstract

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Molecular tagging using DNA is an attractive option in cases that are not suitable for RFID tags or QR codes. Here, the authors present Porcupine, DNA tags directly classifiable from raw nanopore signals.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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