Pepxmltk-a format converter for peptide identification results obtained from tandem mass spectrometry data using X!Tandem search engine

被引:8
作者
Ivanov, M. V. [1 ,2 ]
Levitsky, L. I. [1 ,2 ]
Tarasova, I. A. [1 ]
Gorshkov, M. V. [1 ,2 ]
机构
[1] Russian Acad Sci, Talrose Inst Energy Problems Chem Phys, Moscow 119334, Russia
[2] State Univ, Moscow Inst Phys & Technol, Dolgoprudnyi 141700, Moscow Region, Russia
基金
俄罗斯科学基金会;
关键词
proteomics; search engine; tandem mass spectrometry; data mining; bioinformatics; PROTEIN IDENTIFICATION;
D O I
10.1134/S1061934815130055
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
A widely adopted standard for reporting peptide identification results is the pepXML format, developed at ISB Seattle Proteome Center. This format is supported by the majority of proteomic search engines, such as Mascot and OMSSA, as well as post-search algorithms, including Peptide-Prophet, Percolator and MPscore. Conversion into the pepXML format is usually performed by the proteomic search engines. When working with one of the most widely used open-source search engines, X!Tandem, the conversion is done by means of an additional utility, Tandem2XML, distributed with the popular Trans-Proteomic Pipeline data processing platform.
引用
收藏
页码:1598 / 1599
页数:2
相关论文
共 14 条
  • [1] TANDEM: matching proteins with tandem mass spectra
    Craig, R
    Beavis, RC
    [J]. BIOINFORMATICS, 2004, 20 (09) : 1466 - 1467
  • [2] Open mass spectrometry search algorithm
    Geer, LY
    Markey, SP
    Kowalak, JA
    Wagner, L
    Xu, M
    Maynard, DM
    Yang, XY
    Shi, WY
    Bryant, SH
    [J]. JOURNAL OF PROTEOME RESEARCH, 2004, 3 (05) : 958 - 964
  • [3] Pyteomics-a Python']Python Framework for Exploratory Data Analysis and Rapid Software Prototyping in Proteomics
    Goloborodko, Anton A.
    Levitsky, Lev I.
    Ivanov, Mark V.
    Gorshkov, Mikhail V.
    [J]. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY, 2013, 24 (02) : 301 - 304
  • [4] Label-free, normalized quantification of complex mass spectrometry data for proteomic analysis
    Griffin, Noelle M.
    Yu, Jingyi
    Long, Fred
    Oh, Phil
    Shore, Sabrina
    Li, Yan
    Koziol, Jim A.
    Schnitzer, Jan E.
    [J]. NATURE BIOTECHNOLOGY, 2010, 28 (01) : 83 - U116
  • [5] Empirical Multidimensional Space for Scoring Peptide Spectrum Matches in Shotgun Proteomics
    Ivanov, Mark V.
    Levitsky, Lev I.
    Lobas, Anna A.
    Panic, Tanja
    Laskay, Uenige A.
    Mitulovic, Goran
    Schmid, Rainer
    Pridatchenko, Marina L.
    Tsybin, Yury O.
    Gorshkov, Mikhail V.
    [J]. JOURNAL OF PROTEOME RESEARCH, 2014, 13 (04) : 1911 - 1920
  • [6] Informatics for protein identification by mass spectrometry
    Johnson, RS
    Davis, MT
    Taylor, JA
    Patterson, SD
    [J]. METHODS, 2005, 35 (03) : 223 - 236
  • [7] Semi-supervised learning for peptide identification from shotgun proteomics datasets
    Kall, Lukas
    Canterbury, Jesse D.
    Weston, Jason
    Noble, William Stafford
    MacCoss, Michael J.
    [J]. NATURE METHODS, 2007, 4 (11) : 923 - 925
  • [8] Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search
    Keller, A
    Nesvizhskii, AI
    Kolker, E
    Aebersold, R
    [J]. ANALYTICAL CHEMISTRY, 2002, 74 (20) : 5383 - 5392
  • [9] A uniform proteomics MS/MS analysis platform utilizing open XML file formats
    Keller, Andrew
    Eng, Jimmy
    Zhang, Ning
    Li, Xiao-jun
    Aebersold, Ruedi
    [J]. MOLECULAR SYSTEMS BIOLOGY, 2005, 1 (1) : 2005.0017
  • [10] Proteome Digestion Specificity Analysis for Rational Design of Extended Bottom-up and Middle-down Proteomics Experiments
    Laskay, Uenige A.
    Lobas, Anna A.
    Srzentic, Kristina
    Gorshkov, Mikhail V.
    Tsybin, Yury O.
    [J]. JOURNAL OF PROTEOME RESEARCH, 2013, 12 (12) : 5558 - 5569