Вычислительная и статистическая протеомика на основе масс-спектрометрии
Четверг, 27 мая 2010, 18.00
Институт молекулярной биологии (Вавилова, 32), к. 309.
An insight into computational and statistical mass spectrometry-based proteomics
The goal of proteomics is to identify, quantify and characterize proteins in biological mixtures. Tremendous progress in performance of mass spectrometers and in the associated experimental workflows, has resulted in substantial advances in this field. In particular, Liquid Chromatography coupled with Mass Spectrometry (LC-MS) can be used for global genome-wide discovery-oriented research. Alternatively, targeted Selected Reaction Monitoring (SRM) is sensitive and specific, but requires prior knowledge of the targets and their biochemical characteristics. Measurements generated by these workflows are complex and large-scale, and are subject to stochastic variation and uncertainty in interpretation. Computational and statistical methods are therefore key for their accurate interpretation and for experimental design.
This talk focuses on computational and statistical methods and tools for mass spectrometry-based proteomics. We briefly introduce proteomic workflows and their biological applications. We then discuss computational challenges and state-of-the-art solutions for identification, quantification, and characterization of peptides and proteins from mass spectra, and highlight opportunities and resources for bioinformatics research in this field.
The talk is a short version of the tutorial that will be offered in July 2010 in conjunction with ISMB.
Introductory reading: O. Vitek. "Getting started in computational mass spectrometry-based proteomics". PLoS Computational Biology, 5(5), 2009.