TY - JOUR

T1 - Improved approximate common interval

AU - Amir, Amihood

AU - Gasieniec, Leszek

AU - Shalom, Riva

N1 - Funding Information:
* Corresponding author at: Department of Computer Science, Bar-Ilan University, Ramat-Gan 52900, Israel. Tel.: +972 3 531 8770. E-mail addresses: amir@cs.biu.ac.il (A. Amir), leszek@csc.liv.ac.uk (L. Gasieniec), gonenr1@cs.biu.ac.il (R. Shalom). 1 Partly supported by NSF grant CCR-01-04494 and ISF grant 35/05. 2 Tel.: +44 151 794 3686. 3 Tel.: +972 3 531 8408.

PY - 2007/8/16

Y1 - 2007/8/16

N2 - The approximate common interval (ACI) problem, where the multiple genome strings are required to be compared to all other character sets of the other string is discussed. Genomes are considered as strings, with possible repeats of symbols representing paralogous genes, and detect the gene clusters by modeling gene intervals by the set of characters. A specific number of time algorithm that locates all intervals of two strings share the same character set, which also represents the number of the strings. This approximate common interval (ACI) problem for a specific number of strings can be solved in time and space by considering a finite length of every string. A procedure for extracting all maximal character sets of the input strings, and the ACI problem for a single input string and multiple input strings are studied. Graphic representation shows provides a simple and versatile algorithm, supporting the approximate common interval problem.

AB - The approximate common interval (ACI) problem, where the multiple genome strings are required to be compared to all other character sets of the other string is discussed. Genomes are considered as strings, with possible repeats of symbols representing paralogous genes, and detect the gene clusters by modeling gene intervals by the set of characters. A specific number of time algorithm that locates all intervals of two strings share the same character set, which also represents the number of the strings. This approximate common interval (ACI) problem for a specific number of strings can be solved in time and space by considering a finite length of every string. A procedure for extracting all maximal character sets of the input strings, and the ACI problem for a single input string and multiple input strings are studied. Graphic representation shows provides a simple and versatile algorithm, supporting the approximate common interval problem.

KW - Computational biology

KW - Design of algorithms

KW - Gene evolution

KW - Hamming distance

KW - Pattern matching

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U2 - 10.1016/j.ipl.2007.03.006

DO - 10.1016/j.ipl.2007.03.006

M3 - Article

AN - SCOPUS:34249011129

VL - 103

SP - 142

EP - 149

JO - Information Processing Letters

JF - Information Processing Letters

SN - 0020-0190

IS - 4

ER -