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首页> 外文期刊>Journal of computational biology: A journal of computational molecular cell biology >New, improved, and practical k-stem sequence similarity measures for probe design
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New, improved, and practical k-stem sequence similarity measures for probe design

机译:适用于探针设计的新的,改进的和实用的k-stem序列相似性度量

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摘要

We define new measures of sequence similarity for oligonucleotide probe design. These new measures incorporate the nearest neighbor k-stem motifs in their definition, but can be efficiently computed by means of a bit-vector method. They are not as computationally costly as algorithms that predict nearest neighbor hybridization potential. Our new measures for sequence similarity correlate significantly better with nearest neighbor thermodynamic predictions than either BLAST or the standard edit or insertion-deletion defined similarities already in use in many different probe design applications.
机译:我们定义寡核苷酸探针设计的序列相似性的新措施。这些新措施在其定义中并入了最邻近的k-茎基元,但是可以通过位矢量方法有效地进行计算。它们的计算成本不及预测最近邻杂交潜力的算法高。与最近在许多不同探针设计应用中使用的BLAST或标准编辑或插入删除定义的相似性相比,我们针对序列相似性的新度量与最近邻热力学预测的相关性明显更好。

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