The Bioinformatics facility works in strong connection with other “wet lab” facilities of the Gemelli Science Technology Park (GSTeP), which enable to evaluate and identify the best experimental designs to optimize analysis of the previously produced data.
The Bioinformatics facility offers both standard and customized analysis solutions, specifically created for the needs of a research project.
Using a high-performance computational cluster, various research activities are conducted in parallel to complete, in the shortest possible time, high-quality bioinformatics analyzes on a variety of high-throughput experimental data, for example data produced with Next Generation Sequencing techniques like genome, exome, and transcriptome analysis.
Finally, the facility offers computational biochemistry and biophysics analyzes (e.g., drug design studies, molecular dynamics simulations).
Creation of ad hoc clinical-molecular databases
Creation of databases, accessible on the web platform, which combine clinical characteristics of interest with associated molecular information (e.g., mutations, gene expression, etc.). A quick visualization of the data and customizes parameters contained in the database and views required by pathology/work group (coordinated development with the Data Collection facility) are provided.
Modeling in the field of "drug design" and molecular dynamics
Molecule database screening, ligand design and ligand-protein complex formation studies to understand the molecular mechanisms underlying better/worse treatment efficacy.
Multi-omics data integration
Analysis and integration of heterogeneous molecular-omic data (e.g., transcriptome and miRNoma) to better interpret complex biological data through the use of both open-source and commercial bioinformatics tools.
Next Generation Sequencing data analysis
Analysis, visualization and interpretation starting from raw (or already pre-processed) data collected from studies on clinical samples, animal models or in vitro. In addition to standard pipelines, researchers can request specific analysis tailored to their research project. Possible research areas are, the study of: genome (DNA), exome (coding DNA), transcriptome (RNA), microbiome, etc.
Support to define experimental designs for studies with "high-throughput" techniques
Evaluation of technical limits (e.g., quality and variability of samples) and budget to optimize the experimental design in order to maximize the quality of the result.