Applied Bioinformatics in Life Sciences
In 2016 VIB launched a series of Bioinformatics conferences as part of the VIB conference series. Because of the increasing importance of bioinformatics in medical and agriculture science today and inspired on the success of the past editions, VIB is organizing the 5th edition of this event on 7-8 March 2024.
Since the launch of this event the bioinformatics field has changed enormously. The analysis and the interpretation of the huge amount of data produced in life sciences research today sets high standards and needs for bioinformatics tools & software.
Praktische info:
Leertraject
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18 internationally renowned speakers will present their recent scientific findings in applied bioinformatics. They will shed light on the future perspectives of their research during the following plenary sessions:
- Personalized medicine and clinical bioinformatics
- From genome to function
- From single cell to organism
- Synthetic biology and structural bioinformatics
Besides the invited speakers, the program includes slots for short talks selected from the abstracts and poster sessions. The reception with Belgian beers and the conference dinner offer additional opportunities to interact and meet potential new collaborators.
Program
Day 1 - Thursday 07 March, 2024
08.30 Registration and coffee
09.00 Welcome
09.15 Plenary session 1: Personalized medicine and clinical bioinformatics
- Large Scale Analysis of Observational Health Data in Europe
Peter Rijnbeek (Erasmus University Medical Center, NL) - Using artificial intelligence to decode the human T-cell repertoire
Pieter Meysmans (University of Antwerp, BE) - AI in service of rare disease research - the oligogenic story
Tom Lenaerts (ULB & VUB, BE) - Coffee break
- Synthetic genomics uncovers the design rules of lineage-specific enhancers in hemotopoietic differentiation
Lars Velten (Centre for Genomic Regulations, ES) - Building 3D single-cell atlases
Barbara Engelhardt (Stanford Unversity/Gladstone Institutes, US) - Identifying Effects of Disease on Single-Cells with Domain-Invariant Generative Modeling
Abdul Moeed (German Cencer Research Center (DKFZ), DE)
12.30 Lunch
13.30 Poster session
14.30 Plenary session 2: From genome to function
- Machine learning approaches for single cell data integration and regulatory network inference
Uwe Ohler (MDC Berlin, DE) - Multidimensional mutational fitness stability assays reveal drug-resistant DHFR variants
Amelie Stein (University Copenhangen, DK) - An Atlas to shed light into the dark matter of the Protein Universe
Joana Pereira (Biozentrum, University of Basel, CH; SIB Swiss Institute of Bioinformatics, University of Basel, CH) - MINI-AC: exploring cis-regulatory landscape to infer gene regulatory networks
Nicolás Manosalva Pérez (Department of Plant Biotechnology and Bioinformatics, Ghent University, BE; Center for Plant Systems Biology, VIB, BE) - Coffee break
- ML-enabled Genetic Analysis of High-Content Phenotypes
Paolo Casale (Heimholtz Munich, DE) - Deep learning models of gene regulation and immune cell differentiation
Sara Mostafavi (University of Washington, US)
17.30 Reception
18.30 Guided tour + Conference dinner
Additional fee
Day 2 - Friday, 08 March, 2024
08.45 Coffee
09.15 Plenary session 3: From Single cell to organism
- Learning cell identities from single cell data
Ahmed Mahfouz (Leiden University Medical Center, NL) - Data analytical approaches for high resolution spatial transcriptomics data
Shila Ghazanfar (The University of Sydney, AU) - Advancing spatial and single-cell metabolomics with machine learning, big data analysis, and cloud computing
Theodore Alexandrov (EBML, DE) - Coffee break
- Mapping the rules of glioblastoma with integrated single cell and spatial genomics
Omer Bayraktar (Wellcome Sanger Institute, UK) - Using spatial chromatin organisation for understanding cis-regulatory logic of cellular decision-making in health and disease
Valeriya Malysheva (VIB-UAntwerp Center for Molecular Neurology, BE) - Harpy: scalable and interactive spatial multi-omics analysis
Benjamin Rombaut (Data Mining and Modelling for Biomedicine, VIB Center for Inflammation Research, BE; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, BE)
12.30 Lunch
13.30 Poster session
14.30 Plenary session 4: Synthetic biology & structural bioinfo
- De novo protein and enzyme design with unsupervised language models
Noelia Ferruz (Institute of Molecular Biology of Barcelona (IBMB-CSIC), ES) - Expanding the space of functional proteins using deep learning
Bruno Correia (EPFL, CH) - Synthetic design of overlapping genes using deep generative models of protein sequence
Gun Woo Byeon (Department of Electrical and Computer Engineering, University of Washington, US) - A study on experimental bias in post-translational modification predictors
Jasper Zuallaert (VIB-UGent Center for Medical Biotechnology, BE; Department of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, BE) - Coffee break
- Protein-ligand complex prediction - Are we there yet?
Janani Durairaj (University of Basel, CH) - What are protein language models learning to do?
Sergey Ovchinnikov (Massachusetts Institute of Technology, US)
17.30 Closing words