In today's big-data era, the exponential growth of information due to the latest advances of high-throughput technologies is indisputable. Therefore, efficient algorithms and tools for the extraction, analysis, exploration and representation of biological information are necessary. We are a group of bioinformaticians and software engineers trying to create scalable and efficient applications dedicated to biological problem solving. While our activities are applicable to many different areas varying from cancer research to environmental sciences, we mainly focus on network analysis, data integration and multi-omics approaches, hoping to understand the function, the dynamics and the evolution of complex biological systems.

Our main research areas of interest include:
  • Genomics/Metagenomics
  • Biological Networks
  • Text Mining
  • Data Visualization
  • Big Data Analysis
  • High Performance Computing
  • Data Integration
  • Machine Learning
  • Knowledge Management & Representation
  • Personalized Medicine
  • Medical Informatics

Recent Announcements

  • Arena3Dweb - knowledge representation using multi-layered graphs
    Posted Nov 26, 2020, 11:52 PM by Georgios Pavlopoulos
  • New Article A text-mining tool to aid wet lab biologists in their quest on finding novel counterparts in a protein network  -
    Posted Feb 21, 2020, 1:39 AM by Georgios Pavlopoulos
  • New Review Article Check out our new article on network analysis: A Guide to Conquer the Biological Network Era Using Graph Theory - 
    Posted Feb 21, 2020, 1:40 AM by Georgios Pavlopoulos
  • Microbiome Paper Diversity, evolution, and classification of virophages uncovered through global metagenomicsAvailable here:
    Posted Dec 12, 2019, 2:42 AM by Georgios Pavlopoulos
  • Cell paper Check out our Cell paper: Large-Scale Analyses of Human Microbiomes Reveal Thousands of Small, Novel Genes.
    Posted Aug 20, 2019, 1:14 PM by Georgios Pavlopoulos
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