Nanopore sequencing simulator for DNA data storage
File(s)VCIP2021.pdf (330.08 KB)
Accepted version
Author(s)
San Antonio, Eva Gil
Heinis, Thomas
Carteron, Louis
Dimopoulou, Melpomeni
Antonini, Marc
Type
Conference Paper
Abstract
The exponential increase of digital data and the limited capacity of current storage devices have made clear the need for exploring new storage solutions. Thanks to its biological properties, DNA has proven to be a potential candidate for this task, allowing the storage of information at a high density for hundreds or even thousands of years. With the release of nanopore sequencing technologies, DNA data storage is one step closer to become a reality. Many works have proposed solutions for the simulation of this sequencing step, aiming to ease the development of algorithms addressing nanopore-sequenced reads. However, these simulators target the sequencing of complete genomes, whose characteristics differ from the ones of synthetic DNA. This work presents a nanopore sequencing simulator targeting synthetic DNA on the context of DNA data storage.
Date Issued
2022-01-20
Date Acceptance
2022-01-01
Citation
2021 INTERNATIONAL CONFERENCE ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING (VCIP), 2022, pp.1-5
ISSN
2642-9357
Publisher
IEEE
Start Page
1
End Page
5
Journal / Book Title
2021 INTERNATIONAL CONFERENCE ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING (VCIP)
Copyright Statement
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Commission of the European Communities
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000768800300070&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
893320
Source
IEEE International Conference on Visual Communications and Image Processing (VCIP) - Visual Communications in the Era of AI and Limited Resources
Subjects
Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Imaging Science & Photographic Technology
Telecommunications
Computer Science
DNA data storage
nanopore sequencing
sequencing simulator
image coding
Publication Status
Published
Start Date
2021-12-05
Finish Date
2021-12-08
Coverage Spatial
Munich, GERMANY
Date Publish Online
2022-01-20