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OverviewDue to its longevity and enormous information density, DNA is an attractive medium for archival data storage. Natural DNA more than 700.000 years old has been recovered, and about 5 grams of DNA can in principle hold a Zetabyte of digital information, orders of magnitude more than what is achieved on conventional storage media. Thanks to rapid technological advances, DNA storage is becoming practically feasible, as demonstrated by a number of experimental storage systems, making it a promising solution for our society’s increasing need of data storage. Nevertheless, all the systems suffer from having random noise introduced making the task of reliably storing and retrieving information in DNA challenging. This raises a natural information-theoretic question: how much information can be reliably stored on and reconstructed from millions of short noisy sequences? In this book the authors address this question by discussing the fundamental limits of storing information on DNA. Motivated by current technological constraints on DNA synthesis and sequencing, they propose a probabilistic channel model that captures three key distinctive aspects of the DNA storage systems: (1) the data is written onto many short DNA molecules that are stored in an unordered fashion; (2) the molecules are corrupted by noise and (3) the data is read by randomly sampling from the DNA pool. In building an information-theoretic foundation for the analysis of these channels, developing tools for achievability and converse arguments as they go, the authors introduce the reader to the fascinating and promising field of DNA storage. This book provides a concise and in-depth starting point for students, researchers and practitioners covering the history of the DNA Storage development, discusses the various systems available to date and focuses on the challenges posed in the current state of research in the field. Full Product DetailsAuthor: Ilan Shomorony , Reinhard HeckelPublisher: now publishers Inc Imprint: now publishers Inc Weight: 0.181kg ISBN: 9781680839562ISBN 10: 168083956 Pages: 120 Publication Date: 24 February 2022 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1. Introduction 2. Channel Model 3. Shuffling Channels 4. Noisy Shuffling Channels 5. Multi-draw Channels: Clustering Output Sequences 6. Coding and Computational Aspects 7. Extensions and Open Problems ReferencesReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |