Faculty Opinions recommendation of Skyline: an open source document editor for creating and analyzing targeted proteomics experiments.

584 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

DIA-Umpire: comprehensive computational framework for data independent acquisition proteomics (2015, methodology): “Finally, the pseudo-MS/MS spectra generated by DIA-Umpire can be used to build spectral libraries for use with external tools—for example, for the visualization of spectra and precursor and fragment chromatograms in Skyline 39 ( Supplementary Fig.”
Multidimensional proteomics for cell biology (2015, methodology): “Skyline enables the analysis of selected reaction monitoring (SRM), DIA and many other types of data.”
Trans-Proteomic Pipeline, a standardized data processing pipeline for large-scale reproducible proteomics informatics (2015, methodology): “The TPP does not support analysis of data from SRM workﬂows, but the free and open-source tool Skyline [12] is the leading software for such data.”
The Library of Integrated Network-based Cellular Signatures (LINCS) NIH Program: System-level Cataloging of Human Cells Response to Perturbations (2017, methodology): “Users may also access the primary mass spectrometry data in the form of Skyline documents, the standard in the field for analysis of targeted proteomics.”