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邦德:基本寡核苷酸设计。

BOND: Basic OligoNucleotide Design.

机构信息

Department of Computer Science, University of Western Ontario, London, ON, Canada.

出版信息

BMC Bioinformatics. 2013 Feb 27;14:69. doi: 10.1186/1471-2105-14-69.

Abstract

BACKGROUND

DNA microarrays have become ubiquitous in biological and medical research. The most difficult problem that needs to be solved is the design of DNA oligonucleotides that (i) are highly specific, that is, bind only to the intended target, (ii) cover the highest possible number of genes, that is, all genes that allow such unique regions, and (iii) are computed fast. None of the existing programs meet all these criteria.

RESULTS

We introduce a new approach with our software program BOND (Basic OligoNucleotide Design). According to Kane's criteria for oligo design, BOND computes highly specific DNA oligonucleotides, for all the genes that admit unique probes, while running orders of magnitude faster than the existing programs. The same approach enables us to introduce also an evaluation procedure that correctly measures the quality of the oligonucleotides. Extensive comparison is performed to prove our claims. BOND is flexible, easy to use, requires no additional software, and is freely available for non-commercial use from http://www.csd.uwo.ca/∼ilie/BOND/.

CONCLUSIONS

We provide an improved solution to the important problem of oligonucleotide design, including a thorough evaluation of oligo design programs. We hope BOND will become a useful tool for researchers in biological and medical sciences by making the microarray procedures faster and more accurate.

摘要

背景

DNA 微阵列已在生物和医学研究中无处不在。最需要解决的难题是设计 DNA 寡核苷酸,(i)高度特异性,即仅与预期的靶标结合,(ii)涵盖尽可能多的基因,即允许出现这种独特区域的所有基因,以及(iii)计算速度快。现有的程序都无法满足所有这些标准。

结果

我们引入了一种新方法,使用我们的软件程序 BOND(基本寡核苷酸设计)。根据 Kane 的寡核苷酸设计标准,BOND 为所有允许使用独特探针的基因计算高度特异性的 DNA 寡核苷酸,而运行速度比现有的程序快几个数量级。同样的方法使我们能够引入一种评估程序,正确衡量寡核苷酸的质量。我们进行了广泛的比较来证明我们的主张。BOND 灵活易用,无需额外的软件,并且可以从 http://www.csd.uwo.ca/∼ilie/BOND/ 免费获得非商业用途。

结论

我们为寡核苷酸设计这一重要问题提供了改进的解决方案,包括对寡核苷酸设计程序的全面评估。我们希望 BOND 通过使微阵列程序更快、更准确,成为生物和医学科学研究人员的有用工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/178a/3648450/58bfc9d919c3/1471-2105-14-69-1.jpg

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