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Wydział Matematyki, Informatyki i Mechaniki Uniwersytetu Warszawskiego

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Computational Biology and Bioinformatics


The research focuses on various areas of computational biology: analysis of mass spectrometry data, molecular evolution and modeling, protein structure prediction, regulatory networks, biological sequence analysis.




  • Statistical methods and applications in biology and medicine, multiple hypothesis testing procedures, data engineering
  • Biostatistics, high-dimensional inference, unsupervised learning
  • Gene regulation networks, Bayesian methods, analysis of biological sequences
  • Comparative genomics, peptide mass spectrometry, gene regulation networks, systems biology, alignment analysis
  • Comparative genomics, phylogenetics, molecular evolution
  • Chromatin architecture, cis-regulatory element analysis, machine learning
  • Analysis of high-throughput sequencing data, identification of regulatory variants associated with selected brain disorders
  • Topological and geometrical structure of protein chains, applications of knot theory to biology
  • Protein structure: prediction, simulation of folding and crystal growth processes
  • Genome evolution, alignment analysis, algorithms for molecular biology, systems biology, phylogenetics, molecular evolution
  • Computational oncology, systems biology, machine learning, statistical data analysis
  • Chromatin structure investigation by Monte Carlo simulations and analysis of Hi-C maps
  • Regulatory network modelling, cis-regulatory element analysis