大基因组快速准确的探针选择算法。

Wing-Kin Sung, Wah-Heng Lee
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引用次数: 0

摘要

寡核苷酸微阵列(DNA芯片)技术近年来对基因组研究产生了重大影响。许多领域,如基因发现、药物发现、毒理学研究和疾病诊断,肯定会受益于它的使用。微阵列是由数千个DNA片段有序排列而成,其中每个DNA片段是基因/cDNA的探针(或指纹)。重要的是,每个探针必须唯一地与特定的基因/cDNA相关联。否则会影响芯片的性能。现有的算法通常使用均匀性、敏感性和特异性的标准来选择探针。此外,它们还使用一些启发式方法来提高效率。这种方法降低了准确性。相反,我们使用一些智能滤波技术来避免冗余计算,同时保持精度。基于该算法,可以高效地计算出大型基因组中最优的短(20个碱基)或长(50或70个碱基)探针。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast and accurate probe selection algorithm for large genomes.

The oligo microarray (DNA chip) technology in recent years has a significant impact on genomic study. Many fields such as gene discovery, drug discovery, toxicological research and disease diagnosis, will certainly benefit from its use. A microarray is an orderly arrangement of thousands of DNA fragments where each DNA fragment is a probe (or a fingerprint) of a gene/cDNA. It is important that each probe must uniquely associate with a particular gene/cDNA. Otherwise, the performance of the microarray will be affected. Existing algorithms usually select probes using the criteria of homogeneity, sensitivity, and specificity. Moreover, they improve efficiency employing some heuristics. Such approaches reduce the accuracy. Instead, we make use of some smart filtering techniques to avoid redundant computation while maintaining the accuracy. Based on the new algorithm, optimal short (20 bases) or long (50 or 70 bases) probes can be computed efficiently for large genomes.

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