Title
Algorithmic properties of ciliate sequence alignment
Abstract
We study the problem of optimally partitioning scrambled genes of stichotrichous ciliates into their relevant functional segments, and of aligning scrambled genes with non-scrambled genes. This problem is significantly more difficult than traditional sequence alignment due to the patterns that occur in the scrambled genes. Here, a formal model is created to capture this problem. Then, the inherent complexity of this problem is discussed using the model. We determine that the problem of determining if there is a solution (an alignment) which achieves some minimum score is NP-complete.
Year
DOI
Venue
2010
10.1016/j.tcs.2009.12.006
Theoretical Computer Science
Keywords
DocType
Volume
Ciliates,Gene descrambling,Complexity theory,Bioinformatics,Computational modeling
Journal
411
Issue
ISSN
Citations 
6
0304-3975
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
J. Mark Keil161366.64
Jing Liu200.34
Ian McQuillan39724.72