Projects

We are interested in developing new approaches for integrating of omics data with applications for biomarker discovery, patient stratification and classification, among others. Some of these methods are available as public bioinformatics tools that can be used by researchers to study and interpret their data.

Statistical and ML methods for Multi-Omics Data Integration

One of our aims is to develop new statistical, computational and machine learning methods for the integration and analysis of heterogeneous omics data in a broad range of contexts:

• Multi-omics data integration
• Methods for meta-analysis of biomedical data
• Pathway analysis and Network analysis

Dissecting the Molecular Basis of Complex Diseases

We closely collaborate with experimental groups to analyze and integrate large-scale biological datasets in order to get a better understanding of the molecular mechanisms of complex diseases.

• Biomarker Discovery
• Patient stratification and disease classification
• Drug discovery and Pharmacogenomics

Our group participates in international and national networks and research consortiums

TRANSBIONET, the Translational Bioinformatics Network coordinated by the Spanish National Bioinformatics Institute (INB) that has been created as the reference network for Translational Bioinformatics that brings together most of the bioinformatics units and groups working at health care settings.

Projects

• PID2024-156297OB-I00. Diagnosis and monitoring of autoimmune diseases through analysis of single-cell transcriptional signatures: new bioinformatics methods and predictive models. Ministry of Science, Innovation and Universities. 2025–2028. PI: Pedro Carmona Sáez.
• PPJIB2025-05. Integrative network analysis of omics and clinical variables. UGR. 2026. PI: Marina Vargas, Samuel Fernández
• PID2020-119032RB-I00. Integration of omics data for biomarker discovery and network inference. Ministry of Science, Innovation and Universities. 2021–2024. PI: Pedro Carmona Sáez.
• ProyExcel_00978 (PARKPRECISE). Integration of multi-omics data for precision medicine in Parkinson’s disease. Junta de Andalucía. 2023–2026. PI: Jordi Martorell
• P20_00335. Precision genomic medicine in autoimmune diseases: network inference and personalized treatments. Junta de Andalucía. 2021–2023. PI: Pedro Carmona Sáez.
• PP2024PP-07. New data-driven approaches for the diagnosis of complex diseases. UGR. 2025. PI: Pedro Carmona Sáez.
• PPJIA2022-14. Novel artificial intelligence method for predictive models using single-cell gene expression data. UGR. 2023. PI: Pedro Carmona Sáez
• B-CTS-40-UGR20. Development of a centralized omics data platform for autoimmune diseases. Junta de Andalucía (FEDER). 2021–2023. PI: Pedro Carmona Sáez.
• CV20-36723. DatAC (Data Against COVID-19). Data integration and modeling of the COVID-19 pandemic. Junta de Andalucía. 2020–2022. PI: Pedro Carmona Sáez.
• PI-0173-2017. Identification of biomarkers in systemic lupus erythematosus through integrated transcriptome and methylome analysis. Junta de Andalucía. 2017–2021. PI: Pedro Carmona Sáez.