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Modelling Intermolecular Structures and Defining Ambiguity in Gene Sequences using Matrix Insertion-Deletion Systems

Abstract : Gene insertion and deletion are considered as the basic operations in DNA processing and RNA editing. Based on these evolutionary transformations, a computing model has been formulated in formal language theory known as insertion-deletion systems. Recently, in [6], a new computing model named Matrix insertion-deletion system has been introduced to model various bio-molecular structures such as hairpin, stem and loop, pseudoknot, attenuator, cloverleaf, dumbbell that occur at intramolecular level. In this paper, we model some of the intermolecular structures such as double strand languages, nick languages, hybrid molecules (with R-loops), holliday structure, replication fork and linear hybridization (ligated) languages using Matrix insertion-deletion system. In [2], the ambiguity in gene sequence was defined as deriving more than one structure for a single gene sequence. Here, we propose a different view of understanding the ambiguity in gene sequences: A gene sequence is obtained by more than one way such that their intermediate sequences are different. We further classify the ambiguity into many levels based on the components axiom, string (order of deletion/insertion) and contexts (order of the used contexts). We notice that some of the inter and intramolecular structures obey the newly defined ambiguity levels.
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Contributor : Eric Villemonte de la Clergerie Connect in order to contact the contributor
Submitted on : Thursday, January 12, 2012 - 7:13:51 PM
Last modification on : Wednesday, January 12, 2022 - 3:46:26 AM
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  • HAL Id : hal-00659487, version 1



Lakshmanan Kuppusamy, Anand Mahendran, Éric Villemonte de la Clergerie. Modelling Intermolecular Structures and Defining Ambiguity in Gene Sequences using Matrix Insertion-Deletion Systems. Gemma Bel-Enguix, Veronica Dahl, M. Dolores Jiménez-López. Biology, Computation and Linguistics, new interdisciplinary paradigms, IOS Press, pp.71-82, 2011, Frontiers in Artificial Intelligence and Applications, 978-1-60750-761-1. ⟨hal-00659487⟩



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