COSBI

The Microsoft Research - University of Trento Centre for Computational and Systems Biology (COSBI) is a non profit research center located in Trentino, Italy. The Center has two offices: one in Trento and one opened in 2011 in Rovereto,[1] and was constituted on December 6, 2005.[2] COSBI is a limited liability consortium, owned half by Microsoft Research Cambridge and half by the University of Trento.

History

Origin

COSBI is a joint venture between Microsoft Research and the University of Trento. The founding agreement was signed in Prague on February 2, 2005 by the Minister of Education, University and Research (Minister Letizia Moratti), the Minister of Innovation and Technology (Minister Lucio Stanca), the Province of Trento (Gianluca Salvatori, Councillor of Planning, Research, and Innovation), the University of Trento (Davide Bassi, Rector), the Microsoft Corporation (Bill Gates, president and founder). COSBI was inaugurated on December 7, 2005.[3]

Merging knowledge

COSBI celebrated its fifth anniversary [4][5] by hosting the conference Merging Knowledge:[6] From Programming Languages to Personalized Healthcare,[7] Trento, Italy (November 30 – December 3, 2010). During the event scientific speakers discussed the relevance of computer science to the study of systems biology by exploring the main fields of computational and systems biology, as well as nutrigenomics, which merges personalized medicine with personalized diet. Among the lecturers: Tony Hoare, principal researcher at Microsoft Research; Leroy Hood, president of the Institute for Systems Biology; James Kaput, a director within the U.S. Food and Drug Administration; and Jeannette Wing, President’s Professor of Computer Science and department head of the School of Computer Science at Carnegie Mellon University.

Research

COSBI is a multi-disciplinary group of researchers,[8] software developers and analysts studying Algorithmic Systems Biology through research, projects and solutions. COSBI develops and applies programming language technologies [9] to model, simulate and analyze complex biological systems.

See also

Notes

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