Abstract
In this paper, we propose and evaluate MSA-GPU, a solution to implement the exact Multiple Sequence Alignment algorithm in Graphics Processing Units (GPUs). In our solution, we use the Carrillo-Lipman upper and lower bounds to reduce the amount of computation. We propose a fine-grained strategy to explore the search space by using 2D projections. The results were obtained with a GTX 580 NVidia GPU comparing sets of 3 sequences (real and synthetic). We show that, for sequences with medium/low similarity, our GPU approach is able to outperform the MSA 2.0 CPU program, achieving a speedup of 8.6x.
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Sundfeld, D., de Melo, A.C.M.A. (2013). MSA-GPU: Exact Multiple Sequence Alignment Using GPU. In: Setubal, J.C., Almeida, N.F. (eds) Advances in Bioinformatics and Computational Biology. BSB 2013. Lecture Notes in Computer Science(), vol 8213. Springer, Cham. https://doi.org/10.1007/978-3-319-02624-4_5
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DOI: https://doi.org/10.1007/978-3-319-02624-4_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02623-7
Online ISBN: 978-3-319-02624-4
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