ゲノム情報科学研究教育機構  アブストラクト
Date October 1, 2007
Speaker Dr. Frederique Lisacek, Swiss Institute of Bioinformatics, Proteome Informatics Group
Title Proteomics data analysis in clinical applications
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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