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Skyline: an Open Source Document Editor for Creating and Analyzing Targeted Proteomics Experiments

Overview
Journal Bioinformatics
Specialty Biology
Date 2010 Feb 12
PMID 20147306
Citations 2270
Authors
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Abstract

Summary: Skyline is a Windows client application for targeted proteomics method creation and quantitative data analysis. It is open source and freely available for academic and commercial use. The Skyline user interface simplifies the development of mass spectrometer methods and the analysis of data from targeted proteomics experiments performed using selected reaction monitoring (SRM). Skyline supports using and creating MS/MS spectral libraries from a wide variety of sources to choose SRM filters and verify results based on previously observed ion trap data. Skyline exports transition lists to and imports the native output files from Agilent, Applied Biosystems, Thermo Fisher Scientific and Waters triple quadrupole instruments, seamlessly connecting mass spectrometer output back to the experimental design document. The fast and compact Skyline file format is easily shared, even for experiments requiring many sample injections. A rich array of graphs displays results and provides powerful tools for inspecting data integrity as data are acquired, helping instrument operators to identify problems early. The Skyline dynamic report designer exports tabular data from the Skyline document model for in-depth analysis with common statistical tools.

Availability: Single-click, self-updating web installation is available at http://proteome.gs.washington.edu/software/skyline. This web site also provides access to instructional videos, a support board, an issues list and a link to the source code project.

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References
1.
Martin D, Holzman T, May D, Peterson A, Eastham A, Eng J . MRMer, an interactive open source and cross-platform system for data extraction and visualization of multiple reaction monitoring experiments. Mol Cell Proteomics. 2008; 7(11):2270-8. PMC: 2577205. DOI: 10.1074/mcp.M700504-MCP200. View

2.
Addona T, Abbatiello S, Schilling B, Skates S, Mani D, Bunk D . Multi-site assessment of the precision and reproducibility of multiple reaction monitoring-based measurements of proteins in plasma. Nat Biotechnol. 2009; 27(7):633-41. PMC: 2855883. DOI: 10.1038/nbt.1546. View

3.
Frewen B, Merrihew G, Wu C, Noble W, MacCoss M . Analysis of peptide MS/MS spectra from large-scale proteomics experiments using spectrum libraries. Anal Chem. 2006; 78(16):5678-84. DOI: 10.1021/ac060279n. View

4.
Prakash A, Tomazela D, Frewen B, MacLean B, Merrihew G, Peterman S . Expediting the development of targeted SRM assays: using data from shotgun proteomics to automate method development. J Proteome Res. 2009; 8(6):2733-9. PMC: 2743471. DOI: 10.1021/pr801028b. View

5.
Krokhin O, Craig R, Spicer V, Ens W, Standing K, Beavis R . An improved model for prediction of retention times of tryptic peptides in ion pair reversed-phase HPLC: its application to protein peptide mapping by off-line HPLC-MALDI MS. Mol Cell Proteomics. 2004; 3(9):908-19. DOI: 10.1074/mcp.M400031-MCP200. View