TY - JOUR
T1 - Improved approximation algorithms for reconstructing the history of tandem repeats
AU - Chen, Zhi-Zhong
AU - Wang, Lusheng
PY - 2009/7
Y1 - 2009/7
N2 - Abstract Some genetic diseases in human beings are dominated by short sequences repeated consecutively called tandem repeats. Once a region containing tandem repeats is found, it is of great interest to study the history of creating the repeats. The computational problem of reconstructing the duplication history of tandem repeats has been studied extensively in the literature. Almost all previous studies focused on the simplest case where the size of each duplication block is 1. Only recently we succeeded in giving the first polynomial-time approximation algorithm with a guaranteed ratio for a more general case where the size of each duplication block is at most 2; the algorithm achieves a ratio of 6 and runs in O(n11) time. In this paper, we present two new polynomial-time approximation algorithms for this more general case. One of them achieves a ratio of 5 and runs in O(n9) time, while the other achieves a ratio of 2.5 + ε for any constant ε 0 but runs slower. © 2009 IEEE.
AB - Abstract Some genetic diseases in human beings are dominated by short sequences repeated consecutively called tandem repeats. Once a region containing tandem repeats is found, it is of great interest to study the history of creating the repeats. The computational problem of reconstructing the duplication history of tandem repeats has been studied extensively in the literature. Almost all previous studies focused on the simplest case where the size of each duplication block is 1. Only recently we succeeded in giving the first polynomial-time approximation algorithm with a guaranteed ratio for a more general case where the size of each duplication block is at most 2; the algorithm achieves a ratio of 6 and runs in O(n11) time. In this paper, we present two new polynomial-time approximation algorithms for this more general case. One of them achieves a ratio of 5 and runs in O(n9) time, while the other achieves a ratio of 2.5 + ε for any constant ε 0 but runs slower. © 2009 IEEE.
KW - Approximation algorithms
KW - Computational biology
UR - http://www.scopus.com/inward/record.url?scp=68649103700&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-68649103700&origin=recordpage
U2 - 10.1109/TCBB.2008.122
DO - 10.1109/TCBB.2008.122
M3 - RGC 21 - Publication in refereed journal
C2 - 19644172
SN - 1545-5963
VL - 6
SP - 438
EP - 453
JO - IEEE/ACM Transactions on Computational Biology and Bioinformatics
JF - IEEE/ACM Transactions on Computational Biology and Bioinformatics
IS - 3
M1 - 4685890
ER -