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Cited by 159

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

A Proteomics Search Algorithm Specifically Designed for High-Resolution Tandem Mass Spectra

Open access
Wenger, Craig D., Coon, Joshua J.·2013·Journal of Proteome Research

Abstract

The acquisition of high-resolution tandem mass spectra (MS/MS) is becoming more prevalent in proteomics, but most researchers employ peptide identification algorithms that were designed prior to this development. Here, we demonstrate new software, Morpheus, designed specifically for high-mass accuracy data, based on a simple score that is little more than the number of matching products. For a diverse collection of data sets from a variety of organisms (E. coli, yeast, human) acquired on a variety of instruments (quadrupole-time-of-flight, ion trap-orbitrap, and quadrupole-orbitrap) in different laboratories, Morpheus gives more spectrum, peptide, and protein identifications at a 1% false discovery rate (FDR) than Mascot, Open Mass Spectrometry Search Algorithm (OMSSA), and Sequest. Additionally, Morpheus is 1.5 to 4.6 times faster, depending on the data set, than the next fastest algorithm, OMSSA. Morpheus was developed in C# .NET and is available free and open source under a permissive license.

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Metadata

Authors
Wenger, C. D., & Coon, J. J.
Venue
Journal of Proteome Research
Published
2013-01-31
Volume
12
Issue
3
Pages
1377-1386
ISSN
  • 1535-3893 (ISSN-L)
  • 1535-3907
OpenAlex
W2090402744
Cited by
159
References
9
FWCI
7.57
Type
journal article
Language
en
Open access
green

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