Author(s): Pirooznia Mehdi | Gong Ping | Yang Jack | Yang Mary | Perkins Edward | Deng Youping
Journal: BMC Genomics
ISSN 1471-2164
Volume: 9;
Issue: Suppl 2;
Start page: S11;
Date: 2008;
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Original page
ABSTRACT
Abstract 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.
Journal: BMC Genomics
ISSN 1471-2164
Volume: 9;
Issue: Suppl 2;
Start page: S11;
Date: 2008;
VIEW PDF
DOWNLOAD PDF Original pageABSTRACT
Abstract 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.
