MetaExploArrays : a large-scale oligonucleotide probe design software for explorative DNA microarrays

被引:1
|
作者
Jaziri, Faouzi [1 ,2 ]
Hill, David R. C. [1 ,2 ]
Parisot, Nicolas [3 ,4 ]
Denonfoux, Jeremie [3 ,4 ]
Dugat-Bony, Eric [3 ,4 ]
Peyretaillade, Eric [3 ,4 ]
Peyret, Pierre [3 ,4 ]
机构
[1] Univ Blaise Pascal, Clermont Univ, Aubiere, France
[2] LIMOS, ISIMA, CNRS, UMR 6158, Aubiere, France
[3] Univ Auvergne, CRNH AUVERGNE IFR SANTE, EA CIDAM EA 4678, Clermont Ferrand, France
[4] Univ Auvergne, Clermont Univ, Aubiere, France
关键词
meta-programming; model driven engineering; parallelization; oligonucleotide probe design; explorative probes; thermodynamic; complex environments; ALGORITHM;
D O I
10.1109/PDCAT.2012.94
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The selection of oligonucleotide probes for microarrays is still very difficult task. With the rapid growth of environmental databases (metagenomics programs coupled to next generation sequencing), the computational capacity requirements of probe design algorithms have hugely increased. The use of parallel and distributed architectures can considerably reduce the complexity and the computational time of these algorithms. In this paper we present a new efficient algorithm of oligonucleotide probe selection for an individual specific nucleic acid sequence or a group of sequences. We used a model driven engineering approach to simultaneous design of thousands of sensitive, specific, isothermal and explorative probes, on both PC, multiprocessor, cluster and grid computing with on the one hand a significant computing speedup and on the other hand an improved quality of the resulting probes when compared to equivalent software.
引用
收藏
页码:664 / 671
页数:8
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