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Type: Artigo de periódico
Author: Dias, U
Dias, Z
Abstract: Transpositions are large-scale mutational events that occur when a block of genes moves from a region of a chromosome to another region within the same chromosome. The transposition distance problem is the minimum number of transpositions required to transform one genome into another. Recently, Bulteau et al. [Bulteau L, Fertin G, Rusu U, Automata, Languages and Programming, Vol. 6755 of Lecture Notes in Computer Science, pp. 654-665, Springer Berlin, Heidelberg, 2011] proved that finding the transposition distance is a NP-Hard problem. Some approximation algorithm for this problem have been presented to date [Bafna V, Pevzner PA, SIAM J Discr Math 11(2): 224-240, 1998; Elias I, Hartman T, IEEE/ACM Trans Comput Biol Bioinform 3(4): 369-379, 2006; Mira CVG, Dias Z, Santos HP, Pinto GA, Walter ME, Proc 3rd Brazilian Symp Bioinformatics (BSB'2008), pp. 115-126, Santo Andre, Brazil, 2008; Walter MEMT, Dias Z, Meidanis J, Proc String Processing and Information Retrieval (SPIRE'2000), pp. 199-208, Coruna, Spain, 2000]. Here we focus on developing heuristics to provide an improved approximated solution. Our approach outperforms other algorithms on small sized permutations. We also show that our algorithm keeps the good performance on longer permutations.
Subject: Genome rearrangement
sorting by transposition
approximation algorithm
Country: Inglaterra
Editor: Imperial College Press
Citation: Journal Of Bioinformatics And Computational Biology. Imperial College Press, v. 11, n. 5, 2013.
Rights: fechado
Identifier DOI: 10.1142/S0219720013500133
Date Issue: 2013
Appears in Collections:Unicamp - Artigos e Outros Documentos

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