Imperial College London


Faculty of EngineeringDepartment of Computing

Honorary Research Fellow



mansoor.saqi Website




Huxley BuildingSouth Kensington Campus





Dr Mansoor Saqi is a Research Fellow at the Data Science Institute at Imperial College London. Prior to joining the Data Science Institute, he held positions as Senior Researcher at the European Institute for Systems Biology and Medicine in Lyon, France and previous to that, as Principal Investigator in the Centre for Computational and Systems Biology at Rothamsted Research, UK. His research interests are in translational medicine informatics including data integration, analysis of integrated biological networks and disease stratification.

Selected Publications

Mansoor Saqi, Artem Lysenko, Yi-Ke Guo, Tatsuhiko Tsunoda and Charles Auffray (2017) Navigating the disease landscape: knowledge representations for contextualising molecular signatures (in press)

Vasundra Toure, Alexander Mazein, Dagmar Waltemath, Irina Balaur, Mansoor Saqi, Ron Henkel, Johann Pellet and Charles Auffray (2016) STON: exploring biological pathways using the SBGN standard and graph databases BMC Bioinformatics, 2016 Dec 5;17(1):494

Irina Balaur, Alexander Mazein, Mansoor Saqi, Artem Lysenko, Christopher J. Rawlings, Charles Auffray (2016) Recon2Neo4j: Applying graph database technologies for managing comprehensive genome-scale networks (Bioinformatics, Dec 19)

Irina Balaur, Mansoor Saqi, Ana Barat, Artem Lysenko, Alexander Mazein, Christo- pher J. Rawlings, Heather J. Ruskin, Charles Auffray (2016) EpiGeNet: A graph database of interdependencies between genetic and epigenetic events in colorectal cancer; Journal of Computational Biology J Comput Biol. 2016 Sep 14

Artem Lysenko, Irina Roznovat, Mansoor Saqi, Alexander Mazein, Chris Rawlings, Charles Auffray (2016) Representing and querying disease networks using graph databases, BioData Mining, 9:23

Mansoor Saqi, Johann Pellet, Irina Roznovat, Alexander Mazein, Stephane Ballereau, Bertrand DeMeulder and Charles Auffray (2016), ‘Systems Medicine: the Future of Medical Genomics, Healthcare and Wellness’, Methods Mol Biol. 2016;1386:43-60