TY - JOUR A1 - Hansen, Bjoern Oest A1 - Meyer, Etienne H. A1 - Ferrari, Camilla A1 - Vaid, Neha A1 - Movahedi, Sara A1 - Vandepoele, Klaas A1 - Nikoloski, Zoran A1 - Mutwil, Marek T1 - Ensemble gene function prediction database reveals genes important for complex I formation in Arabidopsis thaliana JF - New phytologist : international journal of plant science N2 - Recent advances in gene function prediction rely on ensemble approaches that integrate results from multiple inference methods to produce superior predictions. Yet, these developments remain largely unexplored in plants. We have explored and compared two methods to integrate 10 gene co-function networks for Arabidopsis thaliana and demonstrate how the integration of these networks produces more accurate gene function predictions for a larger fraction of genes with unknown function. These predictions were used to identify genes involved in mitochondrial complex I formation, and for five of them, we confirmed the predictions experimentally. The ensemble predictions are provided as a user-friendly online database, EnsembleNet. The methods presented here demonstrate that ensemble gene function prediction is a powerful method to boost prediction performance, whereas the EnsembleNet database provides a cutting-edge community tool to guide experimentalists. KW - Arabidopsis thaliana KW - co-function network KW - complex I KW - ensemble prediction KW - gene function prediction Y1 - 2017 U6 - https://doi.org/10.1111/nph.14921 SN - 0028-646X SN - 1469-8137 VL - 217 IS - 4 SP - 1521 EP - 1534 PB - Wiley CY - Hoboken ER - TY - GEN A1 - Van Bel, Michiel A1 - Proost, Sebastian A1 - Van Neste, Christophe A1 - Deforce, Dieter A1 - Van de Peer, Yves A1 - Vandepoele, Klaas T1 - TRAPID BT - an efficient online tool for the functional and comparative analysis of de novo RNA-Seq transcriptomes T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Transcriptome analysis through next-generation sequencing technologies allows the generation of detailed gene catalogs for non-model species, at the cost of new challenges with regards to computational requirements and bioinformatics expertise. Here, we present TRAPID, an online tool for the fast and efficient processing of assembled RNA-Seq transcriptome data, developed to mitigate these challenges. TRAPID offers high-throughput open reading frame detection, frameshift correction and includes a functional, comparative and phylogenetic toolbox, making use of 175 reference proteomes. Benchmarking and comparison against state-of-the-art transcript analysis tools reveals the efficiency and unique features of the TRAPID system. TRAPID is freely available at http://bioinformatics.psb.ugent.be/webtools/trapid/. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 900 KW - gene ontology KW - gene family KW - functional annotation KW - reference database KW - reference proteomes Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-436409 SN - 1866-8372 IS - 900 ER - TY - JOUR A1 - Van Bel, Michiel A1 - Proost, Sebastian A1 - Van Neste, Christophe A1 - Deforce, Dieter A1 - Van de Peer, Yves A1 - Vandepoele, Klaas T1 - TRAPID - an efficient online tool for the functional and comparative analysis of de novo RNA-Seq transcriptomes JF - Genome biology : biology for the post-genomic era N2 - Transcriptome analysis through next-generation sequencing technologies allows the generation of detailed gene catalogs for non-model species, at the cost of new challenges with regards to computational requirements and bioinformatics expertise. Here, we present TRAPID, an online tool for the fast and efficient processing of assembled RNA-Seq transcriptome data, developed to mitigate these challenges. TRAPID offers high-throughput open reading frame detection, frameshift correction and includes a functional, comparative and phylogenetic toolbox, making use of 175 reference proteomes. Benchmarking and comparison against state-of-the-art transcript analysis tools reveals the efficiency and unique features of the TRAPID system. Y1 - 2013 U6 - https://doi.org/10.1186/gb-2013-14-12-r134 SN - 1465-6906 SN - 1474-760X VL - 14 IS - 12 PB - BioMed Central CY - London ER - TY - JOUR A1 - Proost, Sebastian A1 - Van Bel, Michiel A1 - Vaneechoutte, Dries A1 - Van de Peer, Yves A1 - Inze, Dirk A1 - Müller-Röber, Bernd A1 - Vandepoele, Klaas T1 - PLAZA 3.0: an access point for plant comparative genomics JF - Nucleic acids research N2 - Comparative sequence analysis has significantly altered our view on the complexity of genome organization and gene functions in different kingdoms. PLAZA 3.0 is designed to make comparative genomics data for plants available through a user-friendly web interface. Structural and functional annotation, gene families, protein domains, phylogenetic trees and detailed information about genome organization can easily be queried and visualized. Compared with the first version released in 2009, which featured nine organisms, the number of integrated genomes is more than four times higher, and now covers 37 plant species. The new species provide a wider phylogenetic range as well as a more in-depth sampling of specific clades, and genomes of additional crop species are present. The functional annotation has been expanded and now comprises data from Gene Ontology, MapMan, UniProtKB/Swiss-Prot, PlnTFDB and PlantTFDB. Furthermore, we improved the algorithms to transfer functional annotation from well-characterized plant genomes to other species. The additional data and new features make PLAZA 3.0 (http://bioinformatics.psb.ugent.be/plaza/) a versatile and comprehensible resource for users wanting to explore genome information to study different aspects of plant biology, both in model and non-model organisms. Y1 - 2015 U6 - https://doi.org/10.1093/nar/gku986 SN - 0305-1048 SN - 1362-4962 VL - 43 IS - D1 SP - D974 EP - D981 PB - Oxford Univ. Press CY - Oxford ER -