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

• Seminar Computational Biology and Bioinformatics

Employees and PhD students

• prof. dr hab. Przemysław Biecek

  Statistical methods and applications in biology and medicine, multiple hypothesis testing procedures, data engineering

• dr Neo Christopher Chung

  Biostatistics, high-dimensional inference, unsupervised learning

• dr hab. Norbert Dojer

  Gene regulation networks, Bayesian methods, analysis of biological sequences

• prof. dr hab. Anna Gambin

  Comparative genomics, peptide mass spectrometry, gene regulation networks, systems biology, alignment analysis

• dr hab. Paweł Górecki

  Comparative genomics, phylogenetics, molecular evolution

• dr Aleksander Jankowski

  Chromatin architecture, cis-regulatory element analysis, machine learning

• dr Magdalena Machnicka

  Analysis of high-throughput sequencing data, identification of regulatory variants associated with selected brain disorders

• dr Wanda Niemyska

  Topological and geometrical structure of protein chains, applications of knot theory to biology

• dr hab. Piotr Pokarowski, prof. UW

  Protein structure: prediction, simulation of folding and crystal growth processes

• dr Michał Startek

• dr hab. Ewa Szczurek, prof. UW

  Computational oncology, systems biology, machine learning, statistical data analysis

• dr hab. Bartosz Wilczyński

  Regulatory network modelling, cis-regulatory element analysis