Systems Biology aims to model the interactions among molecules in the cell and provide explanation of mechanisms, diagnosis and treatment of a disease.
In recent studies, Network Theory is widely used, since it has increased explanatory power.
Our analysis methods compose of:
1. Combination of multiple “omics” data sources, such as
- genomics: lists of Transcription Factors and microRNAs and their targets
- transcriptomics: mRNA expression via microarray or RNASeq profiling
- proteomics: Protein-Protein Interaction data and Pathway Maps
2. Integration of aforementioned heterogeneous data via networks.
3. Detection of small sub-networks related to specific disease which can act as biomarkers and drug targets.