Research lines


The program's research area is focused on Bioinformatics, subdivided in three research lines that present complementary purposes. The Structural and Functional Biology research line comprises a broad field of knowledge and proposes to understand the structure and functioning of organisms and biological systems. The Computational Biology research line develops and uses computational, statistical and mathematical methods applied to biological problems. The Artificial Intelligence and Data Mining research line designs intelligent systems for pattern discovery and recognition in biological data. At the intersection with bioinformatics, all three research lines prioritize the generation, processing and analysis of large scale molecular data.


STRUCTURAL AND FUNCTIONAL BIOLOGY

  • Genomics, transcriptomics, proteomics and metabolomics
  • Metagenomics and molecular evolution
  • Phylogenomics and biodiversity

COMPUTATIONAL BIOLOGY

  • Computational, statistical and mathematical methods
  • Analysis and integration of biological data
  • Quantitative and systems biology

ARTIFICIAL INTELLIGENCE AND DATA MINING

  • Pattern discovery and recognition
  • Machine learning
  • Evolutionary computation