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Department of Veterinary Medicine

Cambridge Veterinary School

Studying at Cambridge


Adrian Baez-Ortega

Adrian Baez-Ortega

PhD student

Supervisor: Dr Elizabeth Murchison


I'm an enthusiastic bioinformatician focused on the analysis of large-scale genomic data sets, and a PhD student at the Transmissible Cancer Group. My strongest scientific interest is in elucidating the influence of subtle evolutionary and mutational processes on cancer; I also have an interest in molecular evolution, microbiology and mathematical modelling.

My current research revolves around the design of computational methods for the extraction and analysis of high-dimensional data sets, with the aim of unravelling the evolutionary history of an 11,000-year-old contagious cancer. As part of this research, I have developed Somatypus, a computational pipeline for identifying mutations in large numbers of cancer samples, and muttree, a pipeline for constructing phylogenetic trees and discovering recurrent mutations in them. Previously, during my computer science postgraduate studies in Spain, I developed IonGAP, an online platform for the assembly and analysis of bacterial genomes.

My expertise is in genomic data analysis, statistical programming and computational pipeline design. I also write scientific dissemination articles for my personal website, divulgatum.

See my full CV on LinkedIn.

Subject groups/Research projects

Genetics and Oncology:


  • Genomics
  • Canine Transmissible Venereal Tumour (CTVT)
  • Cancer
  • Bioinformatics

Key Publications

Fabian Lorenzo-Diaz, Cris Fernández-Lopez, Pierre-Emmanuel Douarre, Adrian Baez-Ortega, Carlos Flores, Philippe Glaser, Manuel Espinosa
Open Biology 6: 160084 (2016)
DOI: 10.1098/rsob.160084

Adrian Baez-Ortega, Fabian Lorenzo-Diaz, Mariano Hernandez, Carlos Ignacio Gonzalez-Vila, Jose Luis Roda-Garcia, Marcos Colebrook, Carlos Flores
IonGAP: integrative bacterial genome analysis for Ion Torrent sequence data
Bioinformatics, 31(17): 2870–2873 (2015)
DOI: 10.1093/bioinformatics/btv283