TY - GEN
T1 - Statistical signal processing approach to DNA repair
AU - Sever, Ram
AU - Messer, Hagit
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2005
Y1 - 2005
N2 - Signal processing, and especially statistical signal processing, is a field in which generic tools for modeling, analysis and processing of signals are developed. Traditionally, it has been used in technology, and most modern technological systems apply advanced signal processing. However, the post-genomic era introduces challenges which, from a signal processing point of view, may lead to new understanding and promising results. We suggest to apply statistical signal processing tools to the problem of DNA repair, where nature operates as a master engineer. The DNA repair process consists of small machines (proteins, enzymes), which continuously transmit and receive signals from each other. The system regulates its operation; it has feedback loops and backup paths. We suggest modeling the components of the DNA repair system by a probability Markov state diagram.
AB - Signal processing, and especially statistical signal processing, is a field in which generic tools for modeling, analysis and processing of signals are developed. Traditionally, it has been used in technology, and most modern technological systems apply advanced signal processing. However, the post-genomic era introduces challenges which, from a signal processing point of view, may lead to new understanding and promising results. We suggest to apply statistical signal processing tools to the problem of DNA repair, where nature operates as a master engineer. The DNA repair process consists of small machines (proteins, enzymes), which continuously transmit and receive signals from each other. The system regulates its operation; it has feedback loops and backup paths. We suggest modeling the components of the DNA repair system by a probability Markov state diagram.
UR - http://www.scopus.com/inward/record.url?scp=33646760311&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2005.1416420
DO - 10.1109/ICASSP.2005.1416420
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AN - SCOPUS:33646760311
SN - 0780388747
SN - 9780780388741
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 781
EP - 784
BT - 2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Y2 - 18 March 2005 through 23 March 2005
ER -