article Open AccessTop 1% cited
MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry–based proteomics
Nature Methods · 2017 · Vol. 14(5) · pp. 513–520
Andy T. Kong✉(University of Michigan)Felipe da Veiga Leprevost(University of Michigan)Dmitry M. Avtonomov(University of Michigan)Dattatreya Mellacheruvu(University of Michigan)Alexey I. Nesvizhskii(University of Michigan)
Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and ApplicationsMetabolomics and Mass Spectrometry StudiesDatabase search engineProteomicsProteomeMass spectrometryComputational biologyIdentification (biology)Computer sciencePeptideFalse discovery rateTandem mass spectrometry
MeSH terms
AlgorithmsHumansPeptide FragmentsProtein Processing, Post-TranslationalComputational BiologyProteomeDatabases, ProteinProteomicsTandem Mass SpectrometryHEK293 Cells
Funding
- National Institutes of Health
Citations
2,454
FWCI
36.13
field-weighted impact
References
60
Percentile
100%
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Citations per year
Cited by
MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry–based proteomics
Nature Methods · 2017 · 2,454 citations
References
Ultradeep Human Phosphoproteome Reveals a Distinct Regulatory Nature of Tyr and Ser/Thr-Based Signaling
Cell Reports · 2014 · 1,015 citations
A Statistical Model for Identifying Proteins by Tandem Mass Spectrometry
Analytical Chemistry · 2003 · 4,931 citations
Andromeda: A Peptide Search Engine Integrated into the MaxQuant Environment
Journal of Proteome Research · 2011 · 5,798 citations
Empirical Statistical Model To Estimate the Accuracy of Peptide Identifications Made by MS/MS and Database Search
Analytical Chemistry · 2002 · 4,963 citations
MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry–based proteomics
Nature Methods · 2017 · 2,454 citations
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