This article is part of the supplement: IEEE 7th International Conference on Bioinformatics and Bioengineering at Harvard Medical School
Research
ILOOP – a web application for two-channel microarray interwoven loop design
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* Corresponding author: Youping Deng Youping.Deng@usm.edu
1 Department of Biological Sciences, University of Southern Mississippi, Hattiesburg, MS, 39406, USA
2 SpecPro Inc., Vicksburg, MS, 39180, USA
3 Harvard University, Harvard Medical School, Cambridge, MA 02140-0888, USA
4 National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20852, USA
5 Environmental Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS, 39180, USA
BMC Genomics 2008, 9(Suppl 2):S11 doi:10.1186/1471-2164-9-S2-S11
Published: 16 September 2008Abstract
Microarray technology is widely applied to address complex scientific questions. However, there remain fundamental issues on how to design experiments to ensure that the resulting data enables robust statistical analysis. Interwoven loop design has several advantages over other designs. However it suffers in the complexity of design. We have implemented an online web application which allows users to find optimal loop designs for two-color microarray experiments. Given a number of conditions (such as treatments or time points) and replicates, the application will find the best possible design of the experiment and output experimental parameters. It is freely available from http://mcbc.usm.edu/iloop webcite.