A scalable SCENIC workflow for single-cell gene regulatory network analysis B Van de Sande, C Flerin, K Davie, M De Waegeneer, G Hulselmans, ... Nature protocols 15 (7), 2247-2276, 2020 | 656 | 2020 |
Adaptation to high ethanol reveals complex evolutionary pathways K Voordeckers, J Kominek, A Das, A Espinosa-Cantu, D De Maeyer, ... PLoS genetics 11 (11), e1005635, 2015 | 177 | 2015 |
Identification of a complex genetic network underlying Saccharomyces cerevisiae colony morphology K Voordeckers, D De Maeyer, E van der Zande, MD Vinces, W Meert, ... Molecular microbiology 86 (1), 225-239, 2012 | 86 | 2012 |
PheNetic: network-based interpretation of unstructured gene lists in E. coli D De Maeyer, J Renkens, L Cloots, L De Raedt, K Marchal Molecular BioSystems 9 (7), 1594-1603, 2013 | 62 | 2013 |
The crabtree effect shapes the Saccharomyces cerevisiae lag phase during the switch between different carbon sources G Perez-Samper, B Cerulus, A Jariani, L Vermeersch, ... MBio 9 (5), 10.1128/mbio. 01331-18, 2018 | 56 | 2018 |
Elucidation of the Mode of Action of a New Antibacterial Compound Active against Staphylococcus aureus and Pseudomonas aeruginosa E Gerits, E Blommaert, A Lippell, AJ O’Neill, B Weytjens, D De Maeyer, ... PLoS One 11 (5), e0155139, 2016 | 43 | 2016 |
Simultaneous discovery of cancer subtypes and subtype features by molecular data integration T Le Van, M Van Leeuwen, A Carolina Fierro, D De Maeyer, ... Bioinformatics 32 (17), i445-i454, 2016 | 38 | 2016 |
Dynamics of the Saccharomyces cerevisiae transcriptome during bread dough fermentation E Aslankoohi, B Zhu, MN Rezaei, K Voordeckers, D De Maeyer, ... Applied and environmental microbiology 79 (23), 7325-7333, 2013 | 34 | 2013 |
PheNetic: network-based interpretation of molecular profiling data D De Maeyer, B Weytjens, J Renkens, L De Raedt, K Marchal Nucleic acids research 43 (W1), W244-W250, 2015 | 31 | 2015 |
Network-based analysis of eQTL data to prioritize driver mutations D De Maeyer, B Weytjens, L De Raedt, K Marchal Genome biology and evolution 8 (3), 481-494, 2016 | 17 | 2016 |
SSA-ME Detection of cancer driver genes using mutual exclusivity by small subnetwork analysis S Pulido-Tamayo, B Weytjens, D De Maeyer, K Marchal Scientific reports 6 (1), 36257, 2016 | 15 | 2016 |
The Crabtree effect shapes the Saccharomyces cerevisiae lag phase during the switch between different carbon sources. mBio 9: e01331-18 G Perez-Samper, B Cerulus, A Jariani, L Vermeersch, ... DOI: https://doi. org/10.1128/mBio, 01331-18, 2018 | 7 | 2018 |
IAMBEE: a web-service for the identification of adaptive pathways from parallel evolved clonal populations CA Perez-Romero, B Weytjens, D Decap, T Swings, J Michiels, ... Nucleic acids research 47 (W1), W151-W157, 2019 | 3 | 2019 |
SSA. ME Detection of cancer mutual exclusivity patterns by small subnetwork analysis S Pulido-Tamayo, B Weytjens, D De Maeyer, K Marchal bioRxiv, 034124, 2015 | 2 | 2015 |
Viash: from scripts to pipelines R Cannoodt, H Cannoodt, E Van de Kerckhove, A Boschmans, ... arXiv preprint arXiv:2110.11494, 2021 | 1 | 2021 |
Characterization of genes involved in production of an antibacterial compound by rhizosphere Pseudomonas sp. RW10S1 P Estrada-de los Santos, S Matthijs, C Nguyen, D De Maeyer, P Cornelis, ... Symposium of the Belgian Society for Microbiology: Novel compounds and …, 2006 | 1 | 2006 |
Viash: A meta-framework for building reusable workflow modules R Cannoodt, H Cannoodt, D Schaumont, K Waldrant, ... Journal of Open Source Software 9 (93), 6089, 2024 | | 2024 |
Network-based omics data analysis D De Maeyer | | 2016 |
Computational reasoning on high-throughput omics results using interaction networks D De Maeyer, B Weytjens, L De Raedt, K Marchal BIG N2N symposium, Date: 2015/05/21-2015/05/21, Location: Gent, 2015 | | 2015 |
Ranked tiling based approach to discovering patient subtypes T Le Van, J Van den Eynden, D De Maeyer, L Verbeke, ... 10th Benelux Bioinformatics Conference 2015, Date: 2015/12/07-2015/12/08 …, 2015 | | 2015 |