Ignacio Vázquez-Garćıa

Serval is a modular framework for decoding spatial transcriptomics data that introduces Cosine, a method improving transcript recovery and correlation with expression references.

This study tracks clonal evolution of drug resistance in ovarian cancer using structural variants in cfDNA, finding polyclonal resistance with dominant high-fitness clones and genomic features linked to drug resistance.

This study shows that ongoing whole-genome doubling in ovarian cancer promotes cell diversity and immune dysregulation through chromosomal instability and quiescent states.

CINner models chromosomal instability in cancer, showing how selection parameters and WGD influence tumor progression and heterogeneity.

The paper investigates how standing and de novo genetic variants contribute to drug adaptation in yeast, finding they act on shared molecular targets but via different mechanisms.

The paper investigates how clonal heterogeneity and genetic variation influence antimicrobial resistance in yeast, showing that both pre-existing and de novo mutations contribute to fitness and adaptation.