An effective interwoven loop design application for two-channel microarray experiments

Mehdi Pirooznia, Arun Rawat, Jack Y. Yang, Mary Qu Yang, Ping Gong, Edward J. Perkins, Youping Deng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Microarray technology is widely applied to address complex scientific questions. However, there remain fundamental issues of 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.

Original languageEnglish (US)
Title of host publicationProceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE
Pages187-191
Number of pages5
DOIs
StatePublished - 2007
Externally publishedYes
Event7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE - Boston, MA, United States
Duration: Jan 14 2007Jan 17 2007

Other

Other7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE
Country/TerritoryUnited States
CityBoston, MA
Period1/14/071/17/07

Keywords

  • Experiment design
  • Interwoven loop design
  • Microarray

ASJC Scopus subject areas

  • Biotechnology
  • Genetics
  • Bioengineering

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