Microarray oligonucleotide probe designer (MOPeD): A web service.

Viren C Patel, Kajari Mondal, Amol Carl Shetty, Vanessa L Horner, Jirair K Bedoyan, Donna Martin, Tamara Caspary, David J Cutler, Michael E Zwick
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Abstract

Methods of genomic selection that combine high-density oligonucleotide microarrays with next-generation DNA sequencing allow investigators to characterize genomic variation in selected portions of complex eukaryotic genomes. Yet choosing which specific oligonucleotides to be use can pose a major technical challenge. To address this issue, we have developed a software package called MOPeD (Microarray Oligonucleotide Probe Designer), which automates the process of designing genomic selection microarrays. This web-based software allows individual investigators to design custom genomic selection microarrays optimized for synthesis with Roche NimbleGen's maskless photolithography. Design parameters include uniqueness of the probe sequences, melting temperature, hairpin formation, and the presence of single nucleotide polymorphisms. We generated probe databases for the human, mouse, and rhesus macaque genomes and conducted experimental validation of MOPeD-designed microarrays in human samples by sequencing the human X chromosome exome, where relevant sequence metrics indicated superior performance relative to a microarray designed by the Roche NimbleGen proprietary algorithm. We also performed validation in the mouse to identify known mutations contained within a 487-kb region from mouse chromosome 16, the mouse chromosome 16 exome (1.7 Mb), and the mouse chromosome 12 exome (3.3 Mb). Our results suggest that the open source MOPeD software package and website (http://moped.genetics.emory.edu/) will make a valuable resource for investigators in their sequence-based studies of complex eukaryotic genomes.

微阵列寡核苷酸探针设计器(mopp):一个web服务。
将高密度寡核苷酸微阵列与下一代DNA测序相结合的基因组选择方法使研究人员能够在复杂的真核生物基因组的选定部分中表征基因组变异。然而,选择使用哪种特定的寡核苷酸可能构成重大的技术挑战。为了解决这个问题,我们开发了一个名为mop(微阵列寡核苷酸探针设计器)的软件包,该软件包可以自动设计基因组选择微阵列。这个基于网络的软件允许个人研究人员设计定制的基因组选择微阵列,优化合成罗氏NimbleGen的无掩膜光刻技术。设计参数包括探针序列的唯一性、熔化温度、发夹形成和单核苷酸多态性的存在。我们建立了人类、小鼠和恒河猴基因组的探针数据库,并通过对人类X染色体外显子组进行测序,对moped设计的微阵列在人类样本中进行了实验验证,其中相关序列指标表明,相对于罗氏NimbleGen专有算法设计的微阵列,mped设计的微阵列表现出更高的性能。我们还在小鼠身上进行了验证,从小鼠第16号染色体、小鼠第16号染色体外显子组(1.7 Mb)和小鼠第12号染色体外显子组(3.3 Mb)中鉴定出包含在487 kb区域内的已知突变。我们的研究结果表明,开源的mped软件包和网站(http://moped.genetics.emory.edu/)将为研究人员基于序列的复杂真核生物基因组研究提供宝贵的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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