Network and Systems Biology
Our unit works hand in hand with wet lab experts and it is often challanged to analize different kinds of data.
Our Molecular Genetics Laboratory does classical experiments as well as high-throughput experiments using instruments such as automatic confocal microscopy, Luminex and CyTOF2.
Thus, systems-level analysis are a key part of our work.
We are focused on complex network analysis, graph theory, boolean networks and dynamical models design and manipulation using CellDesigner and COPASI.
Our work is aimed to support further wet studies which in turn demand for more analysis.
Network analysis seeks to understand the relationships within biological networks such as metabolic or protein-protein interaction networks.
Although biological networks can be constructed from a single type of molecule or entity (such as genes), network biology often attempts to integrate many different data types, such as proteins, small molecules, gene expression data, and others.
Systems biology involves the use of computer simulations of cellular subsystems (such as the networks of metabolites and enzymes, signal transduction pathways and gene regulatory networks) to both analyze and visualize the complex connections of these cellular processes.