Organisation
Laboratory of Computational Biology (VIB-KU Leuven)
Division
Research in the Laboratory of Computational Biology is focusing on gene and genome regulation, with applications in Drosophila and cancer, and on integrative genomics, developing computational methods for genomic data integration and analysis of next-generation sequence data.
Current researchers
1 - 10 of 21 results
- Stein Aerts (Responsible)
- Darina Abaffyová (Member)
- Stein Aerts (Member)
- Sara Aibar Santos (Member)
- Cas Blaauw (Member)
- Carmen Bravo González-Blas (Member)
- Florian De Rop (Member)
- Seppe De Winter (Member)
- Hannah Dickmänken (Member)
- Sam Dieltiens (Member)
Projects
1 - 10 of 64
- Understanding gene regulation in a whole animal: From building a regulatory atlas to decoding gene regulation with deep learningFrom10 Jan 2024 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- SpaceTimeOmics: combining high-throughput spatial omics with AI to model gene regulation in space and timeFrom1 Jan 2024 → TodayFunding: FWO research project (including WEAVE projects)
- Interpretation of genomic regulatory variation in the human brain and Parkinson’s Disease by integrating deep learning with single-cell multi-omicsFrom1 Oct 2023 → TodayFunding: FWO junior postdoctoral fellowship
- Deep learning based synthetic design and massively parallel reporter assays to characterize and exploit cell type specific enhancersFrom1 Oct 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Enhancer-AI: AI-driven modelling and design of cell type specific enhancers for gene therapyFrom1 Oct 2023 → TodayFunding: FWO Strategic Basic Research (SBO)
- Deep learning solutions for deciphering gene regulation in the human brainFrom7 Mar 2023 → TodayFunding: FWO Strategic Basic Research Grant
- The role of smORF encoded polypeptides in lager beer fermentationFrom1 Jan 2023 → TodayFunding: FWO research project (including WEAVE projects)
- Applications of deep learning for cancer genomicsFrom1 Jan 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Evolution of the genomic regulatory code underlying neuronal diversityFrom1 Oct 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- SymBioSys: Computationally mapping genomic heterogeneity from long read sequencing dataFrom1 Oct 2022 → TodayFunding: BOF - projects
Publications
31 - 40 of 177
- Using cisTargetX to predict transcriptional targets and networks in Drosophila(2012)
Authors: Delphine Potier, Zeynep Kalender Atak, Stein Aerts
Pages: 291 - 314 - Robust target gene discovery through transcriptome perturbations and genome-wide enhancer predictions in Drosophila uncovers a regulatory basis for sensory specification(2010)
Authors: Stein Aerts, Marina Naval Sanchez, Bassem Hassan
- Single-cell transcriptomics reveals that glial cells integrate homeostatic and circadian processes to drive sleep-wake cycles(2024)
Authors: Joana Dopp, Kristofer Davie, El-Sayed Baz, Sha Liu
- Neuronal identity defines a-synuclein and tau toxicity(2023)
Authors: Roman Praschberger, Natalie Kaempf, Eliana Nachman, Stein Aerts, Patrik Verstreken
- dachshund Potentiates Hedgehog Signaling during Drosophila Retinogenesis(2016)
Authors: Jelle Jacobs, Stein Aerts
- TECHNOLOGICAL AND COMPUTATIONAL ADVANCEMENTS IN DROSOPHILA SINGLE-CELL OMICS(2021)
Authors: Kristofer Davie, Stein Aerts
- In Vivo Myoblasts Tracking Using the Sodium Iodide Symporter Gene Expression in Dogs(2020)
Authors: David Mauduit, Christophe Deroose, Maurilio Sampaolesi
Pages: 317 - 327 - Computational methods to unravel perturbed transcriptional regulation in cancer(2019)
Authors: Bram Van de Sande, Stein Aerts
- Melanoma addiction to the long non-coding RNA SAMMSON(2016)
Authors: Eleonora Leucci, Roberto Vendramin, Marco Spinazzi, Mark Fiers, Jasper Wouters, Aljosja Rogiers, Stein Aerts, Frédéric Amant, Stefan Van Aelst, Joost van den Oord, et al.
Pages: 518 - 22 - Functional heterogeneity of lymphocytic patterns in primary melanoma dissected through single-cell multiplexing(2020)
Authors: Francesca Bosisio, Yannick Van Herck, Lukas Marcelis, Jasper Wouters, Veerle Boecxstaens, Oliver Bechter, Joost van den Oord