Computational Biology and Bioinformatics
Description
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.
Seminars
Employees and PhD students
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prof. dr hab. Przemysław Biecek
Statistical methods and applications in biology and medicine, multiple hypothesis testing procedures, data engineering
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dr Neo Christopher Chung
Biostatistics, high-dimensional inference, unsupervised learning
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dr hab. Norbert Dojer
Gene regulation networks, Bayesian methods, analysis of biological sequences
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prof. dr hab. Anna Gambin
Comparative genomics, peptide mass spectrometry, gene regulation networks, systems biology, alignment analysis
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dr hab. Paweł Górecki
Comparative genomics, phylogenetics, molecular evolution
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dr Aleksander Jankowski
Chromatin architecture, cis-regulatory element analysis, machine learning
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dr Magdalena Machnicka
Analysis of high-throughput sequencing data, identification of regulatory variants associated with selected brain disorders
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dr Wanda Niemyska
Topological and geometrical structure of protein chains, applications of knot theory to biology
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dr hab. Piotr Pokarowski, prof. UW
Protein structure: prediction, simulation of folding and crystal growth processes
- dr Michał Startek
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dr hab. Ewa Szczurek, prof. UW
Computational oncology, systems biology, machine learning, statistical data analysis
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dr hab. Bartosz Wilczyński
Regulatory network modelling, cis-regulatory element analysis