Coding for Optimized Writing Rate in DNA Storage

Jain, Siddharth and Farnoud, Farzad and Schwartz, Moshe and Bruck, Jehoshua (2020) Coding for Optimized Writing Rate in DNA Storage. In: 2020 IEEE International Symposium on Information Theory (ISIT). , Piscataway, NJ, pp. 711-716. ISBN 978-1-7281-6432-8. https://resolver.caltech.edu/CaltechAUTHORS:20200511-090541146

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Abstract

A method for encoding information in DNA sequences is described. The method is based on the precisionresolution framework, and is aimed to work in conjunction with a recently suggested terminator-free template independent DNA synthesis method. The suggested method optimizes the amount of information bits per synthesis time unit, namely, the writing rate. Additionally, the encoding scheme studied here takes into account the existence of multiple copies of the DNA sequence, which are independently distorted. Finally, quantizers for various run-length distributions are designed.

Item Type:

Book Section

Related URLs:

URL	URL Type	Description
https://doi.org/10.1109/ISIT44484.2020.9174253	DOI	Article
https://arxiv.org/abs/2005.03248	arXiv	Discussion Paper
https://resolver.caltech.edu/CaltechAUTHORS:20200511-120246633	Related Item	Technical Report

ORCID:

Author	ORCID
Jain, Siddharth	0000-0002-9164-6119
Farnoud, Farzad	0000-0002-8684-4487
Schwartz, Moshe	0000-0002-1449-0026
Bruck, Jehoshua	0000-0001-8474-0812

Additional Information:

© 2020 IEEE. This work was supported in part by a United States–Israel Binational Science Foundation (BSF) under grant no. 2017652, and by NSF grants under grant nos. CCF-1816409, CCF-1755773, CCF-1816965, and CCF-1717884.

Funders:

Funding Agency	Grant Number
Binational Science Foundation (USA-Israel)	2017652
NSF	CCF-1816409
NSF	CCF-1755773
NSF	CCF-1816965
NSF	CCF-1717884

Record Number:

CaltechAUTHORS:20200511-090541146

Persistent URL:

https://resolver.caltech.edu/CaltechAUTHORS:20200511-090541146

Official Citation:

S. Jain, F. Farnoud, M. Schwartz and J. Bruck, "Coding for Optimized Writing Rate in DNA Storage," 2020 IEEE International Symposium on Information Theory (ISIT), Los Angeles, CA, USA, 2020, pp. 711-716, doi: 10.1109/ISIT44484.2020.9174253

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No commercial reproduction, distribution, display or performance rights in this work are provided.

ID Code:

103092

Collection:

CaltechAUTHORS

Deposited By:

Tony Diaz

Deposited On:

11 May 2020 21:08

Last Modified:

28 Aug 2020 18:13

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