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• W1997917679 abstract "Sequence alignment is a very important problem in Bioinformatics since it is very useful to discover relationships among biological sequences. In this article we propose a new sequence alignment algorithm that is able to identify sequence similarities in linear space. Our solution is capable of using several parameters specifying in which conditions a given residue can be aligned. This decision is taken based on a perceptron neuron and the best set of parameters is found using simulated annealing. Comparing our algorithm to a well established algorithm, we found that for pairwise alignments, our approach was faster for all instances tested with speedups up to 7.63 and yields better quality results for the majority of the instances." @default.
• W1997917679 created "2016-06-24" @default.
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• W1997917679 date "2011-11-01" @default.
• W1997917679 modified "2023-09-24" @default.
• W1997917679 title "A fragment based alignment in linear space" @default.
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• W1997917679 doi "https://doi.org/10.1109/bibmw.2011.6112353" @default.
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