Sørensen Frank J, Andersen Claus L, Wiuf Carsten
Bioinformatics Research Center, University of Aarhus, Høegh Guldbergs Gade 10, Aarhus C, Denmark.
Bioinformatics. 2007 Jun 15;23(12):1550-2. doi: 10.1093/bioinformatics/btm122. Epub 2007 Mar 24.
We have created a software tool, SNPTools, for analysis and visualization of microarray data, mainly SNP array data. The software can analyse and find differences in intensity levels between groups of arrays and identify segments of SNPs (genes, clones), where the intensity levels differ significantly between the groups. In addition, SNPTools can show jointly loss-of-heterozygosity (LOH) data (derived from genotypes) and intensity data for paired samples of tumour and normal arrays. The output graphs can be manipulated in various ways to modify and adjust the layout. A wizard allows options and parameters to be changed easily and graphs replotted. All output can be saved in various formats, and also re-opened in SNPTools for further analysis. For explorative use, SNPTools allows various genome information to be loaded onto the graphs.
The software, example data sets and tutorials are freely available from http://www.birc.au.dk/snptools
我们创建了一个软件工具SNPTools,用于微阵列数据(主要是SNP阵列数据)的分析和可视化。该软件可以分析并找出阵列组之间强度水平的差异,识别SNP片段(基因、克隆),其中这些片段在组间强度水平存在显著差异。此外,SNPTools可以联合显示杂合性缺失(LOH)数据(源自基因型)以及肿瘤和正常阵列配对样本的强度数据。输出图形可以通过各种方式进行操作,以修改和调整布局。向导允许轻松更改选项和参数并重新绘制图形。所有输出都可以保存为各种格式,也可以在SNPTools中重新打开以进行进一步分析。为便于探索性使用,SNPTools允许将各种基因组信息加载到图形上。
该软件、示例数据集和教程可从http://www.birc.au.dk/snptools免费获取。