Improved lower bounds for constant GC-content DNA codes

被引:45
作者
Chee, Yeow Meng [1 ,2 ,3 ]
Ling, San [2 ]
机构
[1] Media Dev Author, Interact Digital Media R&D Program, Singapore 179369, Singapore
[2] Nanyang Technol Univ, Sch Math & Phys Sci, Div Math Sci, Singapore 637616, Singapore
[3] Natl Univ Singapore, Sch Comp, Dept Comp Sci, Singapore 117590, Singapore
关键词
DNA codes; exhaustive search; Hamming distance model; oligonucleotide libraries; stochastic local search;
D O I
10.1109/TIT.2007.911167
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The design of large libraries of oligonucleotides having constant GC-content and satisfying Hamming distance constraints between oligonucleotides and their Watson-Crick complements is important in reducing hybridization errors in DNA computing, DNA microarray technologies, and molecular bar coding. Various techniques have been studied for the construction of such oligonucleotide libraries, ranging from algorithmic constructions via stochastic local search to theoretical constructions via coding theory. A new stochastic local search method is introduced, which yields improvements for more than one third of the benchmark lower bounds of Gaborit and King (2005) for n-mer oligonucleotide libraries when n <= 14. Several optimal libraries are also found by computing maximum cliques on certain graphs.
引用
收藏
页码:391 / 394
页数:4
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