Title: Tel Aviv University, Israel
Tamar Geigercompleted her PhD in biochemistry at the Hebrew University of Jerusalem, Israel, and her post-doctoral studies in the laboratory of Prof. Matthias Mann at the Max Planck Institute of Biochemistry. During her post-doc she specialized in proteomics technology and applied it to cancer research. In October 2011 Tamar has moved back to Israel and opened her own research laboratory at the Sackler Faculty of Medicine at the Tel Aviv University. She is proceeding with clinical proteomic research of breast cancer progression with emphasis on the metabolic changes that occur in this process.
Advanced computation has revolutionized the field of mass spectrometry-based proteomics, and transformed data interpretation from manual inspection of individual spectra, to automated, high confidence peptide and protein identification. These automated and accurate analyses dramatically increased the proteomic throughput, and added a new analytical challenge associated with bioinformatics and systems-biology. MaxQuant was (and still is) developed by Dr. Jürgen Cox and Matthias Mann at the Max Planck Institute of Biochemistry, Martinsried, Germany, as a free software for high-resolution mass spectrometry-based proteomics. It includes advanced quantification and identification algorithms, and an integrated search engine, Andromeda. Identification in MaxQuant has tight control of false discovery rates on both the peptide and protein levels, to provide high confidence identification. Furthermore, it enables quantification with multiple techniques, such as SILAC, dimethyl labeling, iTRAQ and TMT, and includes a label-free quantification algorithm. The Perseus program provides a wide array of statistical tests and bioinformatic analyses that enable interpretation of the proteomic data post-MaxQuant. The workshop will cover both the theoretical basis and practicalities of MaxQuant and Perseus, aiming to provide the new users with the tools to further explore these programs.
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