Quantifying molecular bias in DNA data storage

DNA is an attractive digital data storing medium due to high information density and longevity. Here the authors use millions of sequences to investigate inherent biases in DNA synthesis and PCR amplification.

Bibliographic Details
Main Authors:	Yuan-Jyue Chen, Christopher N. Takahashi, Lee Organick, Callista Bee, Siena Dumas Ang, Patrick Weiss, Bill Peck, Georg Seelig, Luis Ceze, Karin Strauss
Format:	Article
Language:	English
Published:	Nature Publishing Group 2020-06-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-020-16958-3

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spelling	doaj-8b64e3fe84db42aa8ace116152d958c22021-07-04T11:47:24ZengNature Publishing GroupNature Communications2041-17232020-06-011111910.1038/s41467-020-16958-3Quantifying molecular bias in DNA data storageYuan-Jyue Chen0Christopher N. Takahashi1Lee Organick2Callista Bee3Siena Dumas Ang4Patrick Weiss5Bill Peck6Georg Seelig7Luis Ceze8Karin Strauss9Microsoft ResearchPaul G. Allen School of Computer Science and Engineering, University of WashingtonPaul G. Allen School of Computer Science and Engineering, University of WashingtonPaul G. Allen School of Computer Science and Engineering, University of WashingtonMicrosoft ResearchTwist BioscienceTwist BiosciencePaul G. Allen School of Computer Science and Engineering, University of WashingtonPaul G. Allen School of Computer Science and Engineering, University of WashingtonMicrosoft ResearchDNA is an attractive digital data storing medium due to high information density and longevity. Here the authors use millions of sequences to investigate inherent biases in DNA synthesis and PCR amplification.https://doi.org/10.1038/s41467-020-16958-3
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Yuan-Jyue Chen Christopher N. Takahashi Lee Organick Callista Bee Siena Dumas Ang Patrick Weiss Bill Peck Georg Seelig Luis Ceze Karin Strauss
spellingShingle	Yuan-Jyue Chen Christopher N. Takahashi Lee Organick Callista Bee Siena Dumas Ang Patrick Weiss Bill Peck Georg Seelig Luis Ceze Karin Strauss Quantifying molecular bias in DNA data storage Nature Communications
author_facet	Yuan-Jyue Chen Christopher N. Takahashi Lee Organick Callista Bee Siena Dumas Ang Patrick Weiss Bill Peck Georg Seelig Luis Ceze Karin Strauss
author_sort	Yuan-Jyue Chen
title	Quantifying molecular bias in DNA data storage
title_short	Quantifying molecular bias in DNA data storage
title_full	Quantifying molecular bias in DNA data storage
title_fullStr	Quantifying molecular bias in DNA data storage
title_full_unstemmed	Quantifying molecular bias in DNA data storage
title_sort	quantifying molecular bias in dna data storage
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2020-06-01
description	DNA is an attractive digital data storing medium due to high information density and longevity. Here the authors use millions of sequences to investigate inherent biases in DNA synthesis and PCR amplification.
url	https://doi.org/10.1038/s41467-020-16958-3
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Quantifying molecular bias in DNA data storage

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