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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


Biography:

Adrian is an enthusiastic bioinformatician focused on the analysis of large-scale genomic data sets, and a PhD student at the Transmissible Cancer Group. His strongest scientific interest is in elucidating the influence of subtle evolutionary and mutational processes on cancer; he also has wider interests in molecular evolution, microbiology and mathematical modelling.

Adrian's 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 CTVT, an 11,000-year-old contagious cancer. As part of this research, he has developed Somatypus, a computational pipeline for identifying mutations in large numbers of cancer samples, and muttree, a tool for constructing phylogenetic trees and discovering recurrent mutations in them. Previously, during his computer science postgraduate studies and internship in Spain, Adrian developed IonGAP, an online platform for the assembly and analysis of bacterial genomes, as well as a QIIME-based workflow for the analysis of metagenomic sequence data.

His expertise is in genomic data analysis, statistical programming and computational pipeline design. He also writes scientific dissemination articles for his personal website, divulgatum.

See Adrian's full CV on LinkedIn.

Subject groups/Research projects

Genetics and Oncology:

Keywords

  • 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