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ProteoCloud: a full-featured open source proteomics cloud computing pipeline

(2013) JOURNAL OF PROTEOMICS. 88. p.104-108
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Bioinformatics: from nucleotids to networks (N2N)
Keywords
PARSER, IDENTIFICATION, OPEN-SOURCE LIBRARY, SPECTROMETRY-BASED PROTEOMICS, TANDEM MASS-SPECTRA, Search algorithms, Proteomics, Bioinformatics, Mass spectrometry, Cloud computing

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Citation

Please use this url to cite or link to this publication:

Chicago
Muth, Thilo, Julian Peters, Jonathan Blackburn, Erdmann Rapp, and Lennart Martens. 2013. “ProteoCloud: a Full-featured Open Source Proteomics Cloud Computing Pipeline.” Journal of Proteomics 88: 104–108.
APA
Muth, T., Peters, J., Blackburn, J., Rapp, E., & Martens, L. (2013). ProteoCloud: a full-featured open source proteomics cloud computing pipeline. JOURNAL OF PROTEOMICS, 88, 104–108.
Vancouver
1.
Muth T, Peters J, Blackburn J, Rapp E, Martens L. ProteoCloud: a full-featured open source proteomics cloud computing pipeline. JOURNAL OF PROTEOMICS. 2013;88:104–8.
MLA
Muth, Thilo, Julian Peters, Jonathan Blackburn, et al. “ProteoCloud: a Full-featured Open Source Proteomics Cloud Computing Pipeline.” JOURNAL OF PROTEOMICS 88 (2013): 104–108. Print.
@article{4165896,
  author       = {Muth, Thilo and Peters, Julian and Blackburn, Jonathan and Rapp, Erdmann and Martens, Lennart},
  issn         = {1874-3919},
  journal      = {JOURNAL OF PROTEOMICS},
  keyword      = {PARSER,IDENTIFICATION,OPEN-SOURCE LIBRARY,SPECTROMETRY-BASED PROTEOMICS,TANDEM MASS-SPECTRA,Search algorithms,Proteomics,Bioinformatics,Mass spectrometry,Cloud computing},
  language     = {eng},
  pages        = {104--108},
  title        = {ProteoCloud: a full-featured open source proteomics cloud computing pipeline},
  url          = {http://dx.doi.org/10.1016/j.jprot.2012.12.026},
  volume       = {88},
  year         = {2013},
}

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