The EADGENE Microarray Data Analysis Workshop (Open Access publication).

Bibliographic Details
Title: The EADGENE Microarray Data Analysis Workshop (Open Access publication).
Authors: Dirk-Jan de Koning, Florence Jaffrézic, Mogens Lund, Michael Watson, Caroline Channing, Ina Hulsegge, Marco Pool, Bart Buitenhuis, Jakob Hedegaard, Henrik Hornshøj, Li Jiang, Peter Sørensen, Guillemette Marot, Céline Delmas, Kim-Anh Cao, Magali San Cristobal, Michael Baron, Roberto Malinverni, Alessandra Stella, Ronald Brunner
Source: Genetics Selection Evolution; Nov2007, Vol. 39 Issue 6, p621-631, 11p
Subject Terms: QUALITY control, PROBLEM solving, CLEAN rooms, QUALITY function deployment
Abstract: Microarray analyses have become an important tool in animal genomics. While their use is becoming widespread, there is still a lot of ongoing research regarding the analysis of microarray data. In the context of a European Network of Excellence, 31 researchers representing 14 research groups from 10 countries performed and discussed the statistical analyses of real and simulated 2-colour microarray data that were distributed among participants. The real data consisted of 48 microarrays from a disease challenge experiment in dairy cattle, while the simulated data consisted of 10 microarrays from a direct comparison of two treatments (dye-balanced). While there was broader agreement with regards to methods of microarray normalisation and significance testing, there were major differences with regards to quality control. The quality control approaches varied from none, through using statistical weights, to omitting a large number of spots or omitting entire slides. Surprisingly, these very different approaches gave quite similar results when applied to the simulated data, although not all participating groups analysed both real and simulated data. The workshop was very successful in facilitating interaction between scientists with a diverse background but a common interest in microarray analyses. [ABSTRACT FROM AUTHOR]
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Database: Complementary Index
More Details
ISSN:0999193X
DOI:10.1186/1297-9686-39-6-621
Published in:Genetics Selection Evolution
Language:English