The InSPECtor project was a joint project by several prominent Flemish bioinformatics research groups, running from 2013 to 2017. These groups are associated with the University of Ghent (UGent) and the Flemish Institute for Biotechnology (VIB), the University of Leuven (KU Leuven), the University of Antwerp (UAntwerpen), and the Flemish Institute for Technological Research (VITO). This unique collaboration enabled us to perform cutting-edge research on the topic of mass spectrometry proteomics.
The InSPECtor project was funded by a grant from the Flemish agency for Innovation by Science and Technology (IWT).
In the search for candidate biomarkers that are of potential use for disease diagnostics, or as targets for treatment or drug development, proteins have recently gained a lot of attention. The proteome however, is much more complex than the genome, since a single gene may give rise to many different protein products due to processes such as alternative splicing and post-translational modifications. Several computational challenges currently limit the potentially large applicability of proteome analysis techniques in industrial and clinical settings.
The goals of the InSPECtor project were therefore to focus on these challenges by developing novel data mining and machine learning algorithms that support the transition of mass spectrometry-based protein analysis into a mature analytical discipline.