BioVRPi is a GM Lab project that focuses on Pi platforms employment in bioinformatics, with particular regards on genomics. The project aims to develop and offer a low-cost, stable, and tested bioinformatic environment for students and researchers involved in genomics and transcriptomics fields.

GM Lab focuses several researches on complex traits and diseases. In contemporary times, complex diseases and systemic pathological conditions have increased in term of numbers and affected people. Through the usage of well-known methodologies, such as Genome Wide Association Studies (GWAS), and novel approaches, like genotype imputation and polygenic risk score (PRS), GMLab aims to discover the possible genetic causes of modern diseases.

GM Lab aims to understand the epigenetic mechanism regulating gene activity and function in humans. Through the use of well-estabilished methylation analysis techniques, GM Lab is investigating gene methylation profiles correlated to genetic and epigenetic disorders and dysfunctions. 

GM Lab aims to develop a pipeline for integrating genomics big data to allow a better understanding of physiological phenomenons underlying diseases, with particular focus on genes roles, and to discover possible biological markers that can be targeted during precision-medicine therapeutic regimens.

HLA-C gene is a highly polymorphic and challenging gene. GM Lab is involved in the analysis of its many  different alleles, applying several bioinformatic approaches, such as classification methods like decision-tree learning or phylogeny, focusing on HLA-C serotypes. Further analyses of this gene are carried out using GWAS approaches in a large cohorts of individuals.

GM Lab is involved in the study of longitudinal bacterial isolates collected from  cystic fibrosis patients and sequenced with NGS platforms. The objective is to analyse the genomic evolution of bacteria and identify the adaptive mechanisms which contribute to the successful chronic colonisation of the airways of cystic fibrosis patients.

GM Lab focuses on the exploration of the human microbiota and its involvement and contribution to health and disease. Such analysis is carried out by employing 16S rRNA gene metabarcoding.

The increase and spread of antibiotic resistance in human pathogens has become a worldwide health concern. GM Lab takes part in the monitoring of environmental antibiotic resistance reservoirs by analysing NGS data obtained through single isolates WGS and shotgun metagenomics approaches.

NGS technology have been improved at the point of cellular resolution. GM Lab focuses on Single cell analysis in transcriptomics to investigate changes in gene expression, regulation of isoforms and cell typing  for human traits and diseases.

GM Lab is involved in the study of post-transcriptional gene regulation in melanoma. We investigate circRNA-miRNA-mRNA networks, using computational (RNAseq, genomic data analysis) and experimental (cell biology, transcriptomics and proteomics techniques) methods.