Date |
October 1, 2007 |
Speaker |
Dr. Frederique Lisacek, Swiss Institute of Bioinformatics, Proteome Informatics Group |
Title |
Proteomics data analysis in clinical applications
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Abstract |
The Proteome Informatics Group (PIG), in collaboration with research
teams of the medical university of Geneva and Geneva Bioinformatics
(GeneBio) SA, is dedicated to the development of a tool collection for
the analysis of proteomics data especially in the context of clinical
applications. A proteomic study typically generates a huge list of
identified, and sometimes relatively quantified, proteins. However, a
list of hundreds, or even thousands, of independent items is actually
poorly informative when one aims at selecting a few potentially relevant
biomarkers for further validation studies. At this stage, a large amount
work still has to be done for putting together an efficient data
analysis tool collection. Currently, proteomic analysis is constrained
by well-recognised limitations, which are mainly:
1. The large volume of data from proteomic experiments needs to be
integrated and exploited;
2. A majority of mass spectra collected during most of the proteomics
experiments still cannot be confidently interpreted;
3. Protein absolute and differential expression is yet to be adequately
measured and quantified leading to the extraction of reliable
differential quantitative data from MS experiments. These issues and corresponding (partial) answers proposed by PIG will be
detailed, illustrated and discussed.
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