Motif Finding Using Non-Deterministic Finite Automata

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dc.contributor.author Tapos, Touhidul Alam
dc.contributor.author Rahman, H.M. Amio
dc.date.accessioned 2021-01-11T09:48:46Z
dc.date.available 2021-01-11T09:48:46Z
dc.date.issued 2015-11-15
dc.identifier.citation [1] Yazmín Magallanes, Ivan Olmos : Motifs Recognition in DNA Sequences Comparing the Motif Finding Automaton Algorithm against a Traditional Approach, Universidad de las Américas, Puebla, 2010 [2] Pavlos Antoniou, Jan Holub : Finding Common Motifs with Gaps using Finite Automata, Dept. of Computer Science, King's College London, London, 2006 [3] Tobias Marschall: Construction of minimal DFAs from biological motifs, Bioinformatics for High-Throughput Technologies, Computer Science XI, Dortmund, Germany, December 9, 2010 [4] Grégory Nuel: Significance Score of Motifs in Biological Sequences, Institute for Mathematical Sciences (INSMI), CNRS, Paris, November 2, 2011 [5] Markus Holzer: Nondeterministic Finite Automata-Recent Results on the Descriptional and Computational Complexity, Institut für Informatik Gießen, Hesse, Germany, January 2008 [6] Christopher Sabotta: Advantages and challenges of programming the Micron Automata Processor, Iowa State University, 2013 [7] Tobias Marschall: Algorithms and Statistical Methods for Exact Motif Discovery, Bioinformatics for High-Throughput Technologies, Computer Science XI, Dortmund, Germany, 2014 [8] Indranil Roy and Srinivas Aluru: Finding Motifs in Biological Sequences using the Micron Automata Processor, School of Computational Science and Engineering Georgia Institute of Technology, Atlanta, GA 30332, 2014 [9] L’ubomíra Išto ˇnová: Descriptional Complexity of Finite State Automata , Pavol Jozef Šafárik University in Košice, September 9, 2010 [10] Kayleigh Hyde: NONDETERMINISTIC FINITE STATE COMPLEXITY, University of Hawai’i, Manoa, April 2013 [11] Adnan Ferdous Ashrafi , A.K.M Iqtidar Newaz :A Modified Algorithm For DNA Motif Finding Considering Mutation, Department of Computer Science and Engineering (CSE) Islamic University Of Technology(IUT), 2014 30 [12] Sabine Broda, Ant_onio Machiavelo: Average Case Complexity of NFA's, Centro de Matem_atica da Universidade do Porto, 2008 [13] Nadia Pisanti_z, Alexandra M. Carvalho: RISOTTO: Fast extraction of motifs with mismatches, Dipartimento di Informatica, Universit_a di Pisa, Italy ,2002 [14] Paolo Ribeca∗ and Emanuele Raineri: Faster exact Markovian probability functions for motif occurrences: a DFA-only approach, Bioinformatics and Genomics Unit, Center for Genomic Regulation, C/ Dr.Aiguader 88, E08003 Barcelona, Spain, page 2839-2848, October 9, 2008 [15] Maxime Crochemore and Christophe Hancart. Automata for matching patterns. In G. Rozenberg and A. Salomaa, editors, Handbook of Formal Languages, volume2, Linear Modeling: Background and Application, chapter 9, pages 399–462. SpringerVerlag, 1997. en_US
dc.identifier.uri http://hdl.handle.net/123456789/784
dc.description Supervised by Tareque Mohmud Chowdhury Assistant Professor Department of Computer Science and Engineering(CSE) Islamic University of Technology (IUT) en_US
dc.description.abstract Motif Finding is one of the topmost concerns on the basis of characteristics of the species and its primary concept is finding the common DNA sequence that specifies a certain characteristics of a species. In this thesis, here we propose a methodology of finding method using an algorithm called nondeterministic finite automata. Our primary concern is finding the best common sequence that follows the pattern and gives an accurate result with minimization of errors. And following that solving complexity issue that occurs in automaton system, we try to minimize the system time and space complexity so that it can find pattern with less storage needed. Using nondeterministic approach so far we provided a better solution approach with patterns both in matched and gapped situation. en_US
dc.language.iso en en_US
dc.publisher Department of Computer Science and Engineering, Islamic University of Technology, Gazipur, Bangladesh en_US
dc.title Motif Finding Using Non-Deterministic Finite Automata en_US
dc.type Thesis en_US


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