Our research involves the application and development of computational and data science methods for approaching biomedical problems, with the support of wet-lab experiments when required. The Bi-squared research activities are structured along three main research lines:
Genomics and metagenomics
- Methods for omics data integration in biomedical projects
- Transcriptomics and evolution in entomology
- New algorithms for microbiome analysis
- Microbiome analysis in human health and ecology studies
Computational biochemistry
- CBB Lab: Free energy calculations for protein structure-function relationships.
- RareVariants Lab: Effect of mutations in proteins structure and function.
Quantitative bioimaging
- Data science for bioimaging
- Advanced bioimaging for molecular and cell biology
- Computer vision and computational neuroscience
- Modeling of biological processes
