| UniProt: a worldwide hub of protein knowledge UniProt Consortium Nucleic acids research 47 (D1), D506-D515, 2019 | 7104 | 2019 |
| UniProt: the universal protein knowledgebase T UniProt Consortium Nucleic acids research 46 (5), 2699-2699, 2018 | 1492 | 2018 |
| The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ... Genome biology 20, 1-23, 2019 | 445 | 2019 |
| MicroScope in 2017: an expanding and evolving integrated resource for community expertise of microbial genomes D Vallenet, A Calteau, S Cruveiller, M Gachet, A Lajus, A Josso, J Mercier, ... Nucleic acids research 45 (D1), D517-D528, 2017 | 215 | 2017 |
| ORVAL: a novel platform for the prediction and exploration of disease-causing oligogenic variant combinations A Renaux, S Papadimitriou, N Versbraegen, C Nachtegael, S Boutry, ... Nucleic acids research 47 (W1), W93-W98, 2019 | 76 | 2019 |
| UniRule: a unified rule resource for automatic annotation in the UniProt Knowledgebase A MacDougall, V Volynkin, R Saidi, D Poggioli, H Zellner, E Hatton-Ellis, ... Bioinformatics 36 (17), 4643-4648, 2020 | 74 | 2020 |
| UniProt: the universal protein knowledgebase (vol 45, pg D158, 2017) A Renaux Nucleic Acids Research 46 (5), 2699-2699, 2018 | 33 | 2018 |
| NR5A1 c.991‐1G > C splice‐site variant causes familial 46,XY partial gonadal dysgenesis with incomplete penetrance M Laan, L Kasak, K Timinskas, M Grigorova, Č Venclovas, A Renaux, ... Clinical endocrinology 94 (4), 656-666, 2021 | 19 | 2021 |
| A knowledge graph approach to predict and interpret disease-causing gene interactions A Renaux, C Terwagne, M Cochez, I Tiddi, A Nowé, T Lenaerts BMC bioinformatics 24 (1), 324, 2023 | 16 | 2023 |
| Faster and more accurate pathogenic combination predictions with VarCoPP2. 0 N Versbraegen, B Gravel, C Nachtegael, A Renaux, E Verkinderen, ... bmc Bioinformatics 24 (1), 179, 2023 | 14 | 2023 |
| Prioritization of oligogenic variant combinations in whole exomes B Gravel, A Renaux, S Papadimitriou, G Smits, A Nowé, T Lenaerts Bioinformatics 40 (4), btae184, 2024 | 2 | 2024 |
| Automatic generation of functional annotation rules using inferred go-domain associations SZ Alborzi, MD Devignes, S Aridhi, R Saidi, A Renaux, MJ Martin, ... Function-SIG ISMB/ECCB 2017, 2017 | 2 | 2017 |
| Prioritization of variant combinations in whole exomes B Gravel, A Renaux, S Papadimitriou, G Smits, A Nowé, T Lenaerts | | 2024 |
| Code ARBOCK A Renaux, T Lenaerts | | 2023 |
| Knowledge graph embeddings for the prediction of pathogenic gene pairs I Bosch, A Renaux, B Gravel, T Lenaerts Benelux Ai Conference, 2023 | | 2023 |
| Bridging the knowledge gap in multigenic pathogenicity predictions: Leveraging integrated networks and machine learning to explain predictions in oligogenic diseases A Renaux | | 2023 |
| Taking the prediction of pathogenic variant-combinations to the next level with VarCoPP2. 0 N Versbraegen, B Gravel, C Nachtegael, A Renaux, E Verkinderen, ... | | 2022 |
| A knowledge graph approach for interpretable prediction of pathogenic genetic interactions A Renaux, CCT Terwagne, M Cochez, I Tiddi, A Nowé, T Lenaerts | | 2022 |
| OLIDA: a FAIR, Community-driven Oligogenic Diseases Database A Dillen, C Nachtegael, A Renaux, S Papadimitriou, N Versbraegen, ... | | 2020 |
| Towards oligogenic disease prediction with ORVAL: a web-platform to uncover pathogenic variant combinations A Renaux 27th conference on Intelligent Systems for Molecular Biology and 18th …, 2019 | | 2019 |
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