CMSA: a heterogeneous CPU/GPU computing system for multiple similar RNA/DNA sequence alignment

Background The multiple sequence alignment (MSA) is a classic and powerful technique for sequence analysis in bioinformatics. With the rapid growth of biological datasets, MSA parallelization becomes necessary to keep its running time in an acceptable level. Although there are a lot of work on MSA p...

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Veröffentlicht in:	BMC bioinformatics Jg. 18; H. 1; S. 315 - 10
Hauptverfasser:	Chen, Xi, Wang, Chen, Tang, Shanjiang, Yu, Ce, Zou, Quan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 24.06.2017 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Algorithms Alignment Bioinformatics Biomedical and Life Sciences Center star alignment Complexity Computational Biology/Bioinformatics Computer Appl. in Life Sciences Computer programs Computer Systems Datasets Deoxyribonucleic acid Devices DNA DNA - chemistry DNA - genetics DNA sequencing Fourier transforms Genetic algorithms GPU Harvesting Heterogeneous Heuristic International conferences Life Sciences Methods Microarrays Molecular biology Multiple sequence alignment (MSA) Nucleotide sequence Parallel processing Ribonucleic acid RNA RNA - chemistry RNA - genetics RNA sequencing RNA, Ribosomal, 16S - chemistry RNA, Ribosomal, 16S - genetics Run time (computers) Sequence Alignment - methods Sequence analysis (applications) Software Source code Workload China Heterogeneous Multiple sequence alignment (MSA) GPU Center star alignment
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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