Bio-Hackathon MENA 2023

Presentation order

1. Asma Alkhaldi (Saudi Data and Artificial Intelligence Authority (SDAIA)) -Toward the treatment of Vaso-Occlusive Crisis: A Reinforcement learning-based approach for non-opioid drug discovery
2. Batool Almarzouq (The University of Liverpool) - A reproducible workflow using Nextflow for protein Molecular Dynamics (MD) simulations with documentation that supports RTL languages and non-Latin scripts.
3. Chang Sun (Institute of Data Science, Maastricht University) - Embedding ontologies
4. Esraa Madi (Sequential Lab) - End-to-end framework to enable analyzing data from DNA sequencing experiments utilizing AI
5. Hatoon Al Ali (KAUST) - DNApredict
6. Nicholas Dimonaco (McMaster University, Canada) - Improving prokaryotic genome annotation through an interoperable and multi-platform bioinformatic pipeline.
7. Núria Queralt Rosinach (Leiden University Medical Center) - MetaboliteNET: building a metabolite-centric knowledge base by ontology-based mining annotations from literature
8. Oleg Vlasovets (Helmholtz Munich) - Open MENA Microbiome Project
9. Olga Mashkova (Lomonosov Moscow State University, Ivannikov Institute for System Programming of the Russian Academy of Sciences) - The Middle East molecular database
10. Remzi Celebi (Maastricht University, Netherlands) - Reproducing Machine Learning and AI methods using FAIR Workbench
11. Yan Gong (King Abdullah University of Science and Technology) - Diabetes Atlas for MENA
12. Katherine Hardgrave (Trinity College Dublin) - Bacteria sensing in wastewater treatment processes using transformer models
13. Nelson David Quiñones Virgen (ZB Med) - Document similarity of articles in the bio-medical domain using multilabel-classification and ontology embeddings
14. Alexander Kanitz (University of Basel) - The ELIXIR::GA4GH Cloud - Global Engagement
15. Robert Hoehndorf ( KAUST) - Resources for genome workflows in the MENA population
16. Leyla Garcia (ZBMED) - Metadata for Science with (bio)schemas
17. Asiyah Lin and Sara Alghamdi (NIH,KAUST) - Creating a FAIR and Harmonized Ontology for Diseases and Phenotypes
18. Tazro Ohta (DBCLS) - Cloud-native data analysis workflow execution service and quality assessment of published workflows
19. Jing-Dong Kim (DBCLS) - Agile text mining with PubAnnotation/PubDictionaries, and its application to MENA Bioinformatics
20. Fernando Zhapa (KAUST) - mOWL: Python library for machine learning with biomedical ontologies
21. Asiyah Lin and Núria Queralt Rosinach (NIH & LUMC) - Harmonizing COVID-19 Epidemiology Ontologies
22. Faisal S. Almutairi (SFDA) - Predicting the risk of food contamination using machine learning models