Probabilistic simple splicing systems

A splicing system, one of the early theoretical models for DNA computing was introduced by Head in 1987. Splicing systems are based on the splicing operation which, informally, cuts two strings of DNA molecules at the specific recognition sites and attaches the prefix of the first string to the suff...

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Main Authors: Selvarajoo, Mathuri, Fong, Wan Heng, Sarmin, Nor Haniza, Turaev, Sherzod
Format: Article
Language:English
English
Published: American Institute of Physics 2014
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http://irep.iium.edu.my/37015/1/37015_Probabilistic%20simple%20splicing%20systems.pdf
http://irep.iium.edu.my/37015/2/37015_Probabilistic%20simple%20splicing%20systems_SCOPUS.pdf
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spelling iium-370152017-09-19T09:16:03Z http://irep.iium.edu.my/37015/ Probabilistic simple splicing systems Selvarajoo, Mathuri Fong, Wan Heng Sarmin, Nor Haniza Turaev, Sherzod QA75 Electronic computers. Computer science A splicing system, one of the early theoretical models for DNA computing was introduced by Head in 1987. Splicing systems are based on the splicing operation which, informally, cuts two strings of DNA molecules at the specific recognition sites and attaches the prefix of the first string to the suffix of the second string, and the prefix of the second string to the suffix of the first string, thus yielding the new strings. For a specific type of splicing systems, namely the simple splicing systems, the recognition sites are the same for both strings of DNA molecules. It is known that splicing systems with finite sets of axioms and splicing rules only generate regular languages. Hence, different types of restrictions have been considered for splicing systems in order to increase their computational power. Recently, probabilistic splicing systems have been introduced where the probabilities are initially associated with the axioms, and the probabilities of the generated strings are computed from the probabilities of the initial strings. In this paper, some properties of probabilistic simple splicing systems are investigated. We prove that probabilistic simple splicing systems can also increase the computational power of the splicing languages generated. American Institute of Physics 2014 Article PeerReviewed application/pdf en http://irep.iium.edu.my/37015/1/37015_Probabilistic%20simple%20splicing%20systems.pdf application/pdf en http://irep.iium.edu.my/37015/2/37015_Probabilistic%20simple%20splicing%20systems_SCOPUS.pdf Selvarajoo, Mathuri and Fong, Wan Heng and Sarmin, Nor Haniza and Turaev, Sherzod (2014) Probabilistic simple splicing systems. AIP Conference Proceedings, 1602. pp. 760-766. ISSN 0094-243X E-ISSN 1551-7616 http://scitation.aip.org/content/aip/proceeding/aipcp/1602 10.1063/1.4882571
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Selvarajoo, Mathuri
Fong, Wan Heng
Sarmin, Nor Haniza
Turaev, Sherzod
Probabilistic simple splicing systems
description A splicing system, one of the early theoretical models for DNA computing was introduced by Head in 1987. Splicing systems are based on the splicing operation which, informally, cuts two strings of DNA molecules at the specific recognition sites and attaches the prefix of the first string to the suffix of the second string, and the prefix of the second string to the suffix of the first string, thus yielding the new strings. For a specific type of splicing systems, namely the simple splicing systems, the recognition sites are the same for both strings of DNA molecules. It is known that splicing systems with finite sets of axioms and splicing rules only generate regular languages. Hence, different types of restrictions have been considered for splicing systems in order to increase their computational power. Recently, probabilistic splicing systems have been introduced where the probabilities are initially associated with the axioms, and the probabilities of the generated strings are computed from the probabilities of the initial strings. In this paper, some properties of probabilistic simple splicing systems are investigated. We prove that probabilistic simple splicing systems can also increase the computational power of the splicing languages generated.
format Article
author Selvarajoo, Mathuri
Fong, Wan Heng
Sarmin, Nor Haniza
Turaev, Sherzod
author_facet Selvarajoo, Mathuri
Fong, Wan Heng
Sarmin, Nor Haniza
Turaev, Sherzod
author_sort Selvarajoo, Mathuri
title Probabilistic simple splicing systems
title_short Probabilistic simple splicing systems
title_full Probabilistic simple splicing systems
title_fullStr Probabilistic simple splicing systems
title_full_unstemmed Probabilistic simple splicing systems
title_sort probabilistic simple splicing systems
publisher American Institute of Physics
publishDate 2014
url http://irep.iium.edu.my/37015/
http://irep.iium.edu.my/37015/
http://irep.iium.edu.my/37015/
http://irep.iium.edu.my/37015/1/37015_Probabilistic%20simple%20splicing%20systems.pdf
http://irep.iium.edu.my/37015/2/37015_Probabilistic%20simple%20splicing%20systems_SCOPUS.pdf
first_indexed 2023-09-18T20:53:05Z
last_indexed 2023-09-18T20:53:05Z
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