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The String Barcoding Problem is NP-Hard

机译:字符串条形码问题是NP-Hard

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摘要

The String Barcoding (SBC) problem, introduced by Rash and Gusfield (RECOMB, 2002), consists in finding a minimum set of substrings that can be used to distinguish between all members of a set of given strings. In a computational biology context, the given strings represent a set of known viruses, while the substrings can be used as probes for an hybridization experiment via microarray. Eventually, one aims at the classification of new strings (unknown viruses) through the result of the hybridization experiment. Rash and Gusfield utilized an Integer Programming approach for the solution of SBC, but they left the computational complexity of the problem as an open question. In this paper we settle the question and prove that SBC is NP-hard.
机译:Rash和Gusfield(RECOMB,2002)提出的字符串条形码(SBC)问题在于找到一组最小的子字符串,该子字符串可用于区分一组给定字符串的所有成员。在计算生物学环境中,给定的字符串代表一组已知病毒,而子字符串可以用作通过微阵列进行杂交实验的探针。最终,人们将通过杂交实验的结果来对新的字符串(未知病毒)进行分类。 Rash和Gusfield将整数编程方法用于SBC的解决方案,但他们将问题的计算复杂性作为一个公开问题。在本文中,我们解决了这个问题并证明SBC是NP难的。

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