Retrieval accuracy of very large DNA-based databases of digital signals. Tsaftaris, S. A. & Katsaggelos, A. K. In European Signal Processing Conference, pages 1561–1565, 2007. abstract bibtex In this paper a simulation of single query searches in very large DNA-based databases that are capable of storing and retrieving digital signals is presented. Similarly to the digital domain, a signal-to-noise ratio (SNR) measure to assess the performance of the DNA-based retrieval scheme in terms of database size and source statistics is defined. With approximations, it is shown that the SNR of any finite size DNA-based database is upper bounded by the SNR of an infinitely large one with the same source distribution. Computer simulations are presented to validate the theoretical outcomes. © 2007 EURASIP.
@inproceedings{Sotirios2007a,
abstract = {In this paper a simulation of single query searches in very large DNA-based databases that are capable of storing and retrieving digital signals is presented. Similarly to the digital domain, a signal-to-noise ratio (SNR) measure to assess the performance of the DNA-based retrieval scheme in terms of database size and source statistics is defined. With approximations, it is shown that the SNR of any finite size DNA-based database is upper bounded by the SNR of an infinitely large one with the same source distribution. Computer simulations are presented to validate the theoretical outcomes. {\textcopyright} 2007 EURASIP.},
author = {Tsaftaris, Sotirios A. and Katsaggelos, Aggelos K.},
booktitle = {European Signal Processing Conference},
isbn = {9788392134022},
issn = {22195491},
pages = {1561--1565},
title = {{Retrieval accuracy of very large DNA-based databases of digital signals}},
year = {2007}
}
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