The existing and continuously developing high-throughput technologies produce a wealth of omics data. These data, combined with related imaging and clinical data, comprise an ocean of information that requires sophisticated mathematical and computational analysis implemented into specialized computational hardware and software. The delivery of individually adapted medical care, based on patient measurements across various levels, is the basic idea of Personalized Medicine. This horizontal (population-based) and vertical (personal multi-level) approach drives data science to very demanding roadmaps and enters Personalized Medicine in the so-called Big Data era.
The Bioinformatics Department is using state-of-the-art computational methodologies and techniques to rise to the occasion, such as computational intelligence, machine learning, pattern recognition and data mining, modeling and simulation, network reconstruction and visualization, complex network analysis, deep learning, text mining and association analysis.
We are providing horizontal services to all the Departments and Clinics of CING in terms of large scale genomics (NGS) and proteomics analysis as well as post-omics analysis in the level of functional analysis and systems analysis as well. Additionally, we are developing relational databases and pipelines for the analysis of medical information.
Bioinformatics Department is hosted in a well-structured laboratory space, having the following available computational resources:
10 powerful workstations
2 DataBase Servers
2 Web Servers
2 High Performance Computing Servers
Access to Super-Computing Facilities
A plethora of open-source bioinformatics tools and in-house built pipelines
Specifically, the pipelines that we are developing are the following: