DNA-Based Storage: Trends and Methods
| Autor: | Eva Garcia-Ruiz, Olgica Milenkovic, Han Mao Kiah, Huimin Zhao, S. M. Hossein Tabatabaei Yazdi, Jian Ma |
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| Rok vydání: | 2015 |
| Předmět: |
FOS: Computer and information sciences
Computer Networks and Communications Computer science Computer Science - Information Theory DNA digital data storage Distributed computing Computer Science - Emerging Technologies Bioengineering 02 engineering and technology 03 medical and health sciences chemistry.chemical_compound 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering 030304 developmental biology 0303 health sciences business.industry Information Theory (cs.IT) Suite 020206 networking & telecommunications Dna storage Substring Emerging Technologies (cs.ET) chemistry Modeling and Simulation Computer data storage business Random access DNA Biotechnology Coding (social sciences) |
| Zdroj: | IEEE Transactions on Molecular, Biological and Multi-Scale Communications. 1:230-248 |
| ISSN: | 2332-7804 |
| DOI: | 10.1109/tmbmc.2016.2537305 |
| Popis: | We provide an overview of current approaches to DNA-based storage system design and of accompanying synthesis, sequencing and editing methods. We also introduce and analyze a suite of new constrained coding schemes for both archival and random access DNA storage channels. The analytic contribution of our work is the construction and design of sequences over discrete alphabets that avoid pre-specified address patterns, have balanced base content, and exhibit other relevant substring constraints. These schemes adapt the stored signals to the DNA medium and thereby reduce the inherent error-rate of the system. |
| Databáze: | OpenAIRE |
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