Literature DB >> 18053572

The EADGENE Microarray Data Analysis Workshop (open access publication).

Dirk-Jan de Koning1, Florence Jaffrézic, Mogens Sandø Lund, Michael Watson, Caroline Channing, Ina Hulsegge, Marco H Pool, Bart Buitenhuis, Jakob Hedegaard, Henrik Hornshøj, Li Jiang, Peter Sørensen, Guillemette Marot, Céline Delmas, Kim-Anh Lê Cao, Magali San Cristobal, Michael D Baron, Roberto Malinverni, Alessandra Stella, Ronald M Brunner, Hans-Martin Seyfert, Kirsty Jensen, Daphne Mouzaki, David Waddington, Angeles Jiménez-Marín, Mónica Pérez-Alegre, Eva Pérez-Reinado, Rodrigue Closset, Johanne C Detilleux, Peter Dovc, Miha Lavric, Haisheng Nie, Luc Janss.   

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.

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Year:  2007        PMID: 18053572      PMCID: PMC2682810          DOI: 10.1186/1297-9686-39-6-621

Source DB:  PubMed          Journal:  Genet Sel Evol        ISSN: 0999-193X            Impact factor:   4.297


  3 in total

1.  Strengthening insights into host responses to mastitis infection in ruminants by combining heterogeneous microarray data sources.

Authors:  Sem Genini; Bouabid Badaoui; Gert Sclep; Stephen C Bishop; Dave Waddington; Marie-Hélène Pinard van der Laan; Christophe Klopp; Cédric Cabau; Hans-Martin Seyfert; Wolfram Petzl; Kirsty Jensen; Elizabeth J Glass; Astrid de Greeff; Hilde E Smith; Mari A Smits; Ingrid Olsaker; Guro M Boman; Giuliano Pisoni; Paolo Moroni; Bianca Castiglioni; Paola Cremonesi; Marcello Del Corvo; Eliane Foulon; Gilles Foucras; Rachel Rupp; Elisabetta Giuffra
Journal:  BMC Genomics       Date:  2011-05-11       Impact factor: 3.969

2.  The EADGENE and SABRE post-analyses workshop.

Authors:  Florence Jaffrezic; Jakob Hedegaard; Magali Sancristobal; Christophe Klopp; Dirk-Jan de Koning
Journal:  BMC Proc       Date:  2009-07-16

3.  Methods for interpreting lists of affected genes obtained in a DNA microarray experiment.

Authors:  Cristina Arce; Silvio Bicciato; Agnès Bonnet; Bart Buitenhuis; Melania Collado-Romero; Lene N Conley; Magali SanCristobal; Francesco Ferrari; Juan J Garrido; Martien Am Groenen; Henrik Hornshøj; Ina Hulsegge; Li Jiang; Ángeles Jiménez-Marín; Arun Kommadath; Sandrine Lagarrigue; Jack Am Leunissen; Laurence Liaubet; Pieter Bt Neerincx; Haisheng Nie; Jan van der Poel; Dennis Prickett; María Ramirez-Boo; Johanna Mj Rebel; Christèle Robert-Granié; Axel Skarman; Mari A Smits; Peter Sørensen; Gwenola Tosser-Klopp; Michael Watson; Jakob Hedegaard
Journal:  BMC Proc       Date:  2009-07-16
  3 in total

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