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Volumn 28, Issue 7, 2012, Pages 1052-1053

PymzML-Python module for high-throughput bioinformatics on mass spectrometry data

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIOLOGY; COMPUTER LANGUAGE; COMPUTER PROGRAM; MASS SPECTROMETRY; METHODOLOGY;

EID: 84859229683     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/bts066     Document Type: Article
Times cited : (75)

References (4)
  • 1
    • 63849110214 scopus 로고    scopus 로고
    • mzAPI: a new strategy for efficiently sharing mass spectrometry data
    • Askenazi, M. et al. (2009) mzAPI: a new strategy for efficiently sharing mass spectrometry data. Nat. Methods, 6, 240-241.
    • (2009) Nat. Methods , vol.6 , pp. 240-241
    • Askenazi, M.1
  • 2
    • 54949129419 scopus 로고    scopus 로고
    • ProteoWizard: open source software for rapid proteomics tools development
    • Kessner, D. et al. (2008) ProteoWizard: open source software for rapid proteomics tools development. Bioinformatics, 24, 2534-2536.
    • (2008) Bioinformatics , vol.24 , pp. 2534-2536
    • Kessner, D.1
  • 3
    • 78651082595 scopus 로고    scopus 로고
    • mzML-a community standard for mass spectrometry data
    • R110.000133
    • Martens, L. et al. (2011) mzML-a community standard for mass spectrometry data. Mol. Cell. Proteomics: MCP, 10, R110.000133.
    • (2011) Mol. Cell. Proteomics: MCP , vol.10
    • Martens, L.1
  • 4
    • 42249108173 scopus 로고    scopus 로고
    • OpenMS An open-source software framework for mass spectrometry
    • Sturm, M. et al. (2008) OpenMS An open-source software framework for mass spectrometry. BMC Bioinformatics, 9, 163.
    • (2008) BMC Bioinformatics , vol.9 , pp. 163
    • Sturm, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.