Flanked Block-Interchange Distance on Strings
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 301-311 |
Number of pages | 11 |
Journal / Publication | IEEE/ACM Transactions on Computational Biology and Bioinformatics |
Volume | 21 |
Issue number | 2 |
Online published | 9 Jan 2024 |
Publication status | Published - 1 Mar 2024 |
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Abstract
Rearrangement sorting problems impact profoundly in measuring genome similarities and tracing historic scenarios of species. However, recent studies on genome rearrangement mechanisms disclosed a statistically significant evidence, repeats are situated at the ends of rearrangement relevant segments and stay unchanged before and after rearrangements.To reflect the principle behind this evidence, we propose flanked block-interchange, an operation on strings that exchanges two substrings flanked by identical left and right symbols in a string. The flanked block-interchange distance problem is formulated as finding a shortest sequence of flanked block-interchanges to transform a string into the other. We propose a sufficient and necessary condition for deciding whether two strings can be transformed into each other by flanked block-interchanges. This condition is linear time verifiable. Under this condition for two strings, we present a 4k4k-approximation algorithm for the flanked block-interchange distance problem where each symbol occurs at most kk times in a string and a polynomial algorithm for this problem where each symbol occurs at most twice in a string. We show that the problem of flanked block-interchange distance is NP-hard at last. © 2004-2012 IEEE.
Research Area(s)
- Algorithm, complexity, flanked block-interchange, genome, rearrangement, string
Citation Format(s)
Flanked Block-Interchange Distance on Strings. / Li, Tiantian; Jiang, Haitao; Zhu, Binhai et al.
In: IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 21, No. 2, 01.03.2024, p. 301-311.
In: IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 21, No. 2, 01.03.2024, p. 301-311.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review