Novikov Eugene, Barillot Emmanuel
Service Bioinformatique, Institut Curie, 75248 Paris Cedex 05, France.
Bioinformatics. 2007 Mar 1;23(5):639-40. doi: 10.1093/bioinformatics/btl644. Epub 2007 Jan 19.
Although various software solutions are currently available for microarray image analysis, one would still expect to develop algorithms ensuring higher level of intelligence and robustness. We present a fully functional software package for automatic processing of the two-color microarray images including spot localization, quantification and quality control. The developed algorithms aim at making ratio estimates more resistant to array contamination and offer automatic tools to evaluate spot quality.
A demo version of the software can be downloaded from http://bioinfo.curie.fr/projects/maia. A full version is freely available to non-commercial users upon request from the authors.
尽管目前有各种软件解决方案可用于微阵列图像分析,但人们仍期望开发出能确保更高智能水平和鲁棒性的算法。我们展示了一个用于自动处理双色微阵列图像的全功能软件包,包括斑点定位、定量和质量控制。所开发的算法旨在使比率估计更能抵抗阵列污染,并提供评估斑点质量的自动工具。
该软件的演示版本可从http://bioinfo.curie.fr/projects/maia下载。非商业用户可向作者申请免费获得完整版。