1995
DOI: 10.1089/cmb.1995.2.371
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Reconstruction of a String from Substring Precedence Data

Abstract: The problem of reconstructing of a symbol string given the data about precedence of fixed length substrings arises in the method of nucleic acid sequencing by nested strand hybridization. We reformulate the problem in the graph-theoretical terms, describe the structure of the set of solutions, and present polynomial time algorithms that check existence and uniqueness of a solution or finiteness of the solution set, and then construct the solutions.

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Cited by 5 publications
(3 citation statements)
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“…In a string graph, the reconstructed genome can be modeled as a circular walk covering every node exactly once-Hamiltonian- [11,29], or at least once [27]. These models have also been considered in their weighted versions [21,27,29], or augmented to include other information, such as matepairs [33,23,14]. Each such notion of genomic reconstruction brought along questions concerning its validity.…”
Section: Related Workmentioning
confidence: 99%
“…In a string graph, the reconstructed genome can be modeled as a circular walk covering every node exactly once-Hamiltonian- [11,29], or at least once [27]. These models have also been considered in their weighted versions [21,27,29], or augmented to include other information, such as matepairs [33,23,14]. Each such notion of genomic reconstruction brought along questions concerning its validity.…”
Section: Related Workmentioning
confidence: 99%
“…Specific details together with the classification of reconstruction ambiguities and the proof of the main algorithm validity are given in the accompanying paper (Rubinov and Gelfand, 1995).…”
Section: Algorithms and Methodsmentioning
confidence: 99%
“…Similar string reconstruction problems have been considered in the past [ 6 , 7 ]. Rubinov and Gelfand [ 8 ] considered the problem of reconstructing a string given the set of k -long substrings and a list of all pairs of k -long subsequences ( i, j ) such that i precedes j at some distance in the string. Because they have complete, long-range precedence data, the problem is different than that which we consider here.…”
Section: Introductionmentioning
confidence: 99%