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ILOOP – a web application for two-channel microarray interwoven loop design

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 s...

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Detalles Bibliográficos
Autores principales: Pirooznia, Mehdi, Gong, Ping, Yang, Jack Y, Yang, Mary Qu, Perkins, Edward J, Deng, Youping
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2559875/
https://www.ncbi.nlm.nih.gov/pubmed/18831776
http://dx.doi.org/10.1186/1471-2164-9-S2-S11
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author Pirooznia, Mehdi
Gong, Ping
Yang, Jack Y
Yang, Mary Qu
Perkins, Edward J
Deng, Youping
author_facet Pirooznia, Mehdi
Gong, Ping
Yang, Jack Y
Yang, Mary Qu
Perkins, Edward J
Deng, Youping
author_sort Pirooznia, Mehdi
collection PubMed
description 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 .
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spelling pubmed-25598752008-10-04 ILOOP – a web application for two-channel microarray interwoven loop design Pirooznia, Mehdi Gong, Ping Yang, Jack Y Yang, Mary Qu Perkins, Edward J Deng, Youping BMC Genomics Research 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 . BioMed Central 2008-09-16 /pmc/articles/PMC2559875/ /pubmed/18831776 http://dx.doi.org/10.1186/1471-2164-9-S2-S11 Text en Copyright © 2008 Pirooznia et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Pirooznia, Mehdi
Gong, Ping
Yang, Jack Y
Yang, Mary Qu
Perkins, Edward J
Deng, Youping
ILOOP – a web application for two-channel microarray interwoven loop design
title ILOOP – a web application for two-channel microarray interwoven loop design
title_full ILOOP – a web application for two-channel microarray interwoven loop design
title_fullStr ILOOP – a web application for two-channel microarray interwoven loop design
title_full_unstemmed ILOOP – a web application for two-channel microarray interwoven loop design
title_short ILOOP – a web application for two-channel microarray interwoven loop design
title_sort iloop – a web application for two-channel microarray interwoven loop design
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2559875/
https://www.ncbi.nlm.nih.gov/pubmed/18831776
http://dx.doi.org/10.1186/1471-2164-9-S2-S11
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