Research lines

  • Bioinformatics:
  • Cancer genomics:
  • Comparative genomics.
  • Computational genomics:
  • Development of personalized bioinformatic pipelines.
  • Genomic analysis of tumor patient cohorts
  • High performance computing.
  • Identification of mutations in tumoral cells and tissues using NGS analysis
  • Large-scale data management.
  • Metagenomics.
  • Molecular systematics and epidemiology.
  • NGS sequence analysis.
  • Phylogenomic and phylogenetic analysis:
  • Quantification of intratumor heterogeneity
  • Species identification and classification.
  • Transcriptome and genome assembly.
  • Web access to NGS data.