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

  • ELIDEK-DEP final results We are happy to announce that our proposal was selected for funding from the Hellenic Foundation for Research and Innovation with score 93%  
    Posted Jun 30, 2019, 2:08 AM by Georgios Pavlopoulos
  • Summer School Our student got a full scholarship to attend the 2-week HelloAI Summer School which takes place in Barcelona and Budapest. 
    Posted May 27, 2019, 8:09 AM by Georgios Pavlopoulos
  • Marie Curie We got funding for a 3-year PostDoc individual fellowship from the Marie Skłodowska-Curie Actions. Our proposal scored 93,8% and 4,9/5 on impact.
    Posted Feb 17, 2019, 9:41 AM by Georgios Pavlopoulos
  • ELIDEK-DEP - 1st Round results Our lab's first proposal successfully passed the first round of ELIDEK call for DEP with a descent score and very positive comments. So far so good! Now preparing for the final round.
    Posted Nov 29, 2018, 6:13 AM by Georgios Pavlopoulos
  • Elixir and pMED, the Greek Research Infrastructure for Personalised Medicine” a <10min video online:
    Posted May 30, 2018, 4:37 AM by Georgios Pavlopoulos
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