The Computational Proteomics Unit was set up in August 2013 and is part of the Cambridge Centre for Proteomics. Its main activities centre around the sound analysis of proteomics data and integration of different sources of heterogeneous data. We work in close collaboration with biologists to tackle biologically challenging questions using statistics and machine learning to understand the data and uncover biologically relevant patterns. The development and publication of scientific software (1, 2) is an integral part of our work and is reflected by our contributions to the Bioconductor project.
Keywords: data analysis, experimental design, statistics, programming, R, scientific software, machine learning, reproducible research, proteomics.
Open Science and Reproducible Research
We are committed to the open, transparent and rigorous practice of scientific enquiry. In particular, we make every possible effort to make our research repeatable, reproducible and replicable, in the hope that it can be re-used and improved upon by as many as possible. Concomitantly, we release all our software and data under open permissible licences. Finally, we will also ensure that our research (such as, but not limited to journals articles, presentations, and book chapters) is published under open access licences to allow everybody to freely read, re-use and mine it.
Software engineering and programming are an important aspect of our work. We hence try to adopt common good practice and coding style.
See the wiki for some useful links.
Code of Conduct
The lab is dedicated to providing a welcoming and harassment-free experience for everyone, and we expect cooperation from all members to help ensuring a safe environment for everybody. See the Code of conduct page for a longer version.
Since 2010, we have benefited from the financial support from the BBSRC, the 7th Framework Programme of the European Union (Contract no. 262067 PRIME-XS) and the Wellcome Trust.
Dr Laurent Gatto
Computational Proteomics Unit Cambridge Centre for Proteomics Cambridge Systems Biology Centre University of Cambridge Tennis Court Road Cambridge, CB2 1GA, UK Phone: +44 (0) 1223 760253 Email: lg390 AT cam.ac.uk