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» A Sequence Alignment Model Based on the Averaged Perceptron
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LSSC
2007
Springer
14 years 15 days ago
An Ant-Based Model for Multiple Sequence Alignment
Abstract. Multiple sequence alignment is a key process in today’s biology, and finding a relevant alignment of several sequences is much more challenging than just optimizing so...
Frédéric Guinand, Yoann Pigné
BMCBI
2004
177views more  BMCBI 2004»
13 years 6 months ago
Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
Background: Certain protein families are highly conserved across distantly related organisms and belong to large and functionally diverse superfamilies. The patterns of conservati...
Andrew F. Neuwald, Jun S. Liu
BIB
2006
141views more  BIB 2006»
13 years 6 months ago
Statistical significance in biological sequence analysis
One of the major goals of computational sequence analysis is to find sequence similarities, which could serve as evidence of structural and functional conservation, as well as of ...
Alexander Yu. Mitrophanov, Mark Borodovsky
BMCBI
2007
134views more  BMCBI 2007»
13 years 6 months ago
Efficient pairwise RNA structure prediction using probabilistic alignment constraints in Dynalign
Background: Joint alignment and secondary structure prediction of two RNA sequences can significantly improve the accuracy of the structural predictions. Methods addressing this p...
Arif Ozgun Harmanci, Gaurav Sharma, David H. Mathe...
WSC
1998
13 years 7 months ago
Average Performance of Quasi Monte Carlo Methods for Global Optimization
In this paper we compare the average performance of one class of low-discrepancy quasi-Monte Carlo sequences for global optimization. Weiner measure is assumed as the probability ...
Hisham A. Al-Mharmah