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定制微阵列应用的评估:寡核苷酸设计挑战

An evaluation of custom microarray applications: the oligonucleotide design challenge.

作者信息

Lemoine Sophie, Combes Florence, Le Crom Stéphane

机构信息

INSERM, CNRS, IFR36, Plate-forme Transcriptome, Paris, France.

出版信息

Nucleic Acids Res. 2009 Apr;37(6):1726-39. doi: 10.1093/nar/gkp053. Epub 2009 Feb 10.

Abstract

The increase in feature resolution and the availability of multipack formats from microarray providers has opened the way to various custom genomic applications. However, oligonucleotide design and selection remains a bottleneck of the microarray workflow. Several tools are available to perform this work, and choosing the best one is not an easy task, nor are the choices obvious. Here we review the oligonucleotide design field to help users make their choice. We have first performed a comparative evaluation of the available solutions based on a set of criteria including: ease of installation, user-friendly access, the number of parameters and settings available. In a second step, we chose to submit two real cases to a selection of programs. Finally, we used a set of tests for the in silico benchmark of the oligo sets obtained from each type of software. We show that the design software must be selected according to the goal of the scientist, depending on factors such as the organism used, the number of probes required and their localization on the target sequence. The present work provides keys to the choice of the most relevant software, according to the various parameters we tested.

摘要

特征分辨率的提高以及微阵列供应商提供的多重包格式,为各种定制基因组应用开辟了道路。然而,寡核苷酸设计和选择仍然是微阵列工作流程的一个瓶颈。有几种工具可用于执行这项工作,选择最佳工具并非易事,选择也不明显。在此,我们对寡核苷酸设计领域进行综述,以帮助用户做出选择。我们首先根据一组标准对可用解决方案进行了比较评估,这些标准包括:安装的简易程度、用户友好的访问方式、可用参数和设置的数量。第二步,我们选择将两个实际案例提交给一系列程序。最后,我们对从每种软件类型获得的寡核苷酸集进行了一系列计算机模拟基准测试。我们表明,设计软件必须根据科学家的目标来选择,这取决于所使用的生物体、所需探针的数量及其在目标序列上的定位等因素。根据我们测试的各种参数,本研究为选择最相关的软件提供了关键要点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6a6/2665234/450559486653/gkp053f1.jpg

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