Blas Chaves-Urbano

This paper develops a computational framework using single-cell whole-genome sequencing to identify ongoing chromosomal instability, showing its utility in cancer models and clinical samples.

This paper develops a framework to predict future oncogene amplification or tumour suppressor deletion in cancer using genomic data, achieving an average AUC of 0.87.

scAbsolute measures single-cell ploidy and replication status using single-cell DNA sequencing without prior knowledge of cell cycle phase.

CNpare matches cancer cell lines based on high-resolution DNA copy number profiles, accurately identifying matched lines in all tested cases.