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

  • new Article and its Press release: Published in Nature Biotechnology journal: Cultivation and sequencing of rumen microbiome members from the Hungate1000 Collection: the Press release here:
    Posted Mar 22, 2018, 3:20 AM by Georgios Pavlopoulos
  • Press Release: A press release regarding our latest work:
    Posted Mar 13, 2018, 1:36 AM by Georgios Pavlopoulos
  • new Article Bipartite Graphs in Systems Biology and Medicine: a survey of methods and applications:
    Posted Feb 19, 2018, 11:44 AM by Georgios Pavlopoulos
  • co-organizing ECCB 2018 Our Lab is highly involved in the co-organization of ECCB-2018 conference which will be held in Athens, Greece (8-12 September). More information here:
    Posted Jan 10, 2018, 4:51 PM by Georgios Pavlopoulos
  • new Article With this paper we expect to give a big boost to network clustering field by parallelizing the very well known Markov Clustering (MCL) algorithm. Clustering any network of >300 MILLION nodes and >100 BILLION connections in <4 hours using high performance computing? Talking about a three-column input text file of many Terabytes in size. Press release is yet to come. For those who are interested:
    Posted Jan 10, 2018, 4:25 PM by Georgios Pavlopoulos
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