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.

    We have a manual that explains all the features 

Record number 398519
Title Genome-wide computational function prediction of Arabidopsis thaliana proteins by integration of multiple data sources
Author(s) Kourmpetis, Y.I.A.; Dijk, A.D.J. van; Ham, R.C.H.J. van; Braak, C.J.F. ter
Source Plant Physiology 155 (2011). - ISSN 0032-0889 - p. 271 - 281.
DOI https://doi.org/10.1104/pp.110.162164
Department(s) Mathematical and Statistical Methods - Biometris
BIOS Applied Bioinformatics
Bioinformatics
Biometris
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2011
Keyword(s) generalized linear-models - transcription factor - flowering time - cell-death - thaliana - gene - algorithm - networks - biology - family
Abstract Although Arabidopsis thaliana is the best studied plant species, the biological role of one third of its proteins is still unknown. We developed a probabilistic protein function prediction method that integrates information from sequences, protein-protein interactions and gene expression. The method was applied to proteins from Arabidopsis thaliana. Evaluation of prediction performance showed that our method has improved performance compared to single source-based prediction approaches and two existing integration approaches. An innovative feature of our method is that enables transfer of functional information between proteins that are not directly associated with each other. We provide novel function predictions for 5,807 proteins. Recent experimental studies confirmed several of the predictions. We highlight these in detail for proteins predicted to be involved in flowering and floral organ development.
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