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Review

Data analysis and bioinformatics tools for tandem mass spectrometry in proteomics

¹ Institute for Systems Biology, Seattle, Washington
² Institute of Molecular Systems Biology, ETH Zurich
³ Faculty of Sciences, University of Zurich, Zurich, Switzerland
⁴ Center for Systems Physiology and Metabolic Diseases, Zurich, Switzerland

Data processing is a central and critical component of a successful proteomics experiment, and is often the most time-consuming step. There have been considerable advances in the field of proteomics informatics in the past 5 years, spurred mainly by free and open-source software tools. Along with the gains afforded by new software, the benefits of making raw data and processed results freely available to the community in data repositories are finally in evidence. In this review, we provide an overview of the general analysis approaches, software tools, and repositories that are enabling successful proteomics research via tandem mass spectrometry.