Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 359683
Title Analysis of the real EADGENE data set: Comparison of methods and guidelines for data normalisation and selection of differentially expressed genes
Author(s) Jafrezic, F.; Koning, D.J. de; Boettcher, P.; Bonnet, A.; Buitenhuis, B.; Closset, R.; Dejean, S.; Delmas, C.; Detilleux, J.C.; Dovc, P.; Duval, M.; Foulley, J.L.; Hedegaard, J.; Hoprnshoj, H.; Hulsegge, B.; Janss, L.; Jensen, K.; Jiang, L.; Lavric, M.; Cao Le, K.A.; Lund, M.S.; Malinverni, R.; Marot, G.; Nie, H.; Petzl, W.; Pool, M.H.; Robert-Granie, C.; Cristobal, M.; Schothorst, E.M. van; Schuberth, H.J.; Sorensen, P.; Stella, A.; Tosser-klopp, G.; Waddington, D.; Watson, M.; Yang, M.; Zerbe, H.; Seyfert, H.M.
Source Genetics, Selection, Evolution 39 (2007). - ISSN 0999-193X - p. 633 - 650.
Department(s) Livestock Research
Animal Breeding and Genetics
RIKILT - Business Unit Safety & Health
Publication type Refereed Article in a scientific journal
Publication year 2007
Keyword(s) cdna microarray data - mixed-model
Abstract A large variety of methods has been proposed in the literature for microarray data analysis. The aim of this paper was to present techniques used by the EADGENE (European Animal Disease Genomics Network of Excellence) WP1.4 participants for data quality control, normalisation and statistical methods for the detection of differentially expressed genes in order to provide some more general data analysis guidelines. All the workshop participants were given a real data set obtained in an EADGENE funded microarray study looking at the gene expression changes following artificial infection with two different mastitis causing bacteria: Escherichia coli and Staphylococcus aureus. It was reassuring to see that most of the teams found the same main biological results. In fact, most of the differentially expressed genes were found for infection by E. coli between uninfected and 24 h challenged udder quarters. Very little transcriptional variation was observed for the bacteria S. aureus. Lists of differentially expressed genes found by the different research teams were, however, quite dependent on the method used, especially concerning the data quality control step. These analyses also emphasised a biological problem of cross-talk between infected and uninfected quarters which will have to be dealt with for further microarray studies
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