Abstract
For finding accurate and biologically meaningful multiple sequence alignment, it is required to consider a loosely constrained version of multiple sequence alignment. This paper is the first to define a loosely constrained multiple sequence alignment (LCMSA). And it also designs a complete algorithm for the loosely constrained pair-wise sequence alignment problem with the time complexity of O((α + 1)n 2(α + 1)) and an approximation algorithm for LCMSA running in time O(k 2(α + 1)n 2(α + 1)), k and n is the number and the maximum length of input sequences, and α is the length of constrained sequence. In fact, α is small compared to n and it is reasonable to regard it as a constant. So, the former two algorithms run in polynomial time. Finally, a LCMSA software system is built up.
This work was supported by the National ‘863’ High-Tech Program of China under the grant No.2001AA111041, 2002AA104560, and High-standard Universities Construction Project in CAS.
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© 2004 Springer-Verlag Berlin Heidelberg
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Song, B., Zhou, Ff., Chen, Gl. (2004). Algorithms for Loosely Constrained Multiple Sequence Alignment. In: Zhang, J., He, JH., Fu, Y. (eds) Computational and Information Science. CIS 2004. Lecture Notes in Computer Science, vol 3314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30497-5_34
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DOI: https://doi.org/10.1007/978-3-540-30497-5_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24127-0
Online ISBN: 978-3-540-30497-5
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