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Tutorial Details: Computational Analysis of Mass Spectrometry Data

Date: Tuesday, February 12, 2008, 01:00 pm - 03:00 pm
Location: 402 Walter
Instructor(s): Yanji Xu,

In recent years, mass spectrometry has been recognized as one of the most successful techniques in proteomics research, playing a fundamental and indispensable role in current proteomic laboratories. This tutorial will review current computational tools in mass spectrometry data analysis and show a detailed MS data analysis workflow, including spectrum reconstruction, peptide and protein identification, protein function annotation, function prediction for hypothetical proteins, data mining of quantitation MS data, and downstream bioinformatics analysis. All the corresponding computation tools will be discussed.

Level:
Prerequisites: Basic knowledge of mass spectrometry and protein science