Research Areas


The work of the Computational Biology Unit of FEM in the field of genomics is focused on De Novo genome assembly, as well as on the analysis of re-sequencing data, using the latest DNA sequencingtechnologies available. We are also active in downstream data interpretation and develop methods and pipelines for functional annotation of assembled genomes.


Tools and methods for the analysis of metagenomics data and their integration with other -omic technologies.


Development and application of state-of-the-art methods for preprocessing and analysis of metabolomics and chemical data obtained in the characterization of complex biological systems.

Statistical Modeling and Data Integration

The unit conjugates a support activity for biological data analysis with the original development of algorithms in the areas of univariate and multivariate analysis, machine learning and network analysis.Current research lines include Development and implementation of state-of-the-art approaches for variable association assessment Statistical modelling for nutritional studies Development of...


Transcriptomics is the study of the complete set of RNA transcripts produced in one cell or in a population of cells under specific environmental conditions, using high-throughput methods based on microarray or next-generation sequencing technologies.