TOPPAS: A Graphical Workflow Editor for the Analysis of High-Throughput Proteomics Data

被引:36
|
作者
Junker, Johannes [1 ,3 ]
Bielow, Chris [2 ,4 ]
Bertsch, Andreas [1 ,3 ]
Sturm, Marc [1 ,3 ]
Reinert, Knut [2 ]
Kohlbachert, Oliver [1 ,3 ]
机构
[1] Univ Tubingen, Ctr Bioinformat, Tubingen, Germany
[2] Free Univ Berlin, Dept Math & Comp Sci, Inst Comp Sci, Berlin, Germany
[3] Univ Tubingen, Quantitat Biol Ctr, Tubingen, Germany
[4] Int Max Planck Res Sch Computat Biol & Sci Comp, Berlin, Germany
关键词
mass spectrometry; proteomics; GUI; pipeline; OpenMS; OPEN-SOURCE SOFTWARE; IDENTIFICATION; FRAMEWORK; PROTEINS; TAVERNA; GALAXY; TANDEM;
D O I
10.1021/pr300187f
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Mass spectrometry coupled to high-performance liquid chromatography (HPLC-MS) is evolving more quickly than ever. A wide range of different instrument types and experimental setups are commonly used. Modern instruments acquire huge amounts of data, thus requiring tools for an efficient and automated data analysis. Most existing software for analyzing HPLC-MS data is monolithic and tailored toward a specific application. A more flexible alternative consists of pipeline-based tool kits allowing the construction of custom analysis workflows from small building blocks, e.g., the Trans Proteomics Pipeline (TPP) or The OpenMS Proteomics Pipeline (TOPP). One drawback, however, is the hurdle of setting up complex workflows using command line tools. We present TOPPAS, The OpenMS Proteomics Pipeline ASsistant, a graphical user interface (GUI) for rapid composition of HPLC-MS analysis workflows. Workflow construction reduces to simple drag-and-drop of analysis tools and adding connections in between. Integration of external tools into these workflows is possible as well. Once workflows have been developed, they can be deployed in other workflow management systems or batch processing systems in a fully automated fashion. The implementation is portable and has been tested under Windows, Mac OS X, and Linux. TOPPAS is open-source software and available free of charge at http://www.OpenMS.de/TOPPAS.
引用
收藏
页码:3914 / 3920
页数:7
相关论文
共 50 条
  • [41] High-Throughput Raman Spectroscopy Combined with Innovate Data Analysis Workflow to Enhance Biopharmaceutical Process Development
    Goldrick, Stephen
    Umprecht, Alexandra
    Tang, Alison
    Zakrzewski, Roman
    Cheeks, Matthew
    Turner, Richard
    Charles, Aled
    Les, Karolina
    Hulley, Martyn
    Spencer, Chris
    Farid, Suzanne S.
    PROCESSES, 2020, 8 (09)
  • [42] HIGH-THROUGHPUT DATA ANALYSIS IN BEHAVIOR GENETICS
    Sakov, Anat
    Golani, Ilan
    Lipkind, Dina
    Benjamini, Yoav
    ANNALS OF APPLIED STATISTICS, 2010, 4 (02): : 743 - 763
  • [43] Quantitative analysis of high-throughput biological data
    Juan, Hsueh-Fen
    Huang, Hsuan-Cheng
    WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL MOLECULAR SCIENCE, 2023, 13 (04)
  • [44] Exploratory analysis of high-throughput metabolomic data
    Chalini D. Wijetunge
    Zhaoping Li
    Isaam Saeed
    Jairus Bowne
    Arthur L. Hsu
    Ute Roessner
    Antony Bacic
    Saman K. Halgamuge
    Metabolomics, 2013, 9 : 1311 - 1320
  • [45] DATA: Diafiltration Apparatus for high-Throughput Analysis
    Ouimet, Jonathan A.
    Liu, Xinhong
    Brown, David J.
    Eugene, Elvis A.
    Popps, Tylar
    Muetzel, Zachary W.
    Dowling, Alexander W.
    Phillip, William A.
    JOURNAL OF MEMBRANE SCIENCE, 2022, 641
  • [46] Comprehensive analysis of high-throughput screening data
    Heyse, S
    BIOMEDICAL NANOTECHNOLOGY ARCHITECTURES AND APPLICATIONS, 2002, 4626 : 535 - 547
  • [47] Exploratory analysis of high-throughput metabolomic data
    Wijetunge, Chalini D.
    Li, Zhaoping
    Saeed, Isaam
    Bowne, Jairus
    Hsu, Arthur L.
    Roessner, Ute
    Bacic, Antony
    Halgamuge, Saman K.
    METABOLOMICS, 2013, 9 (06) : 1311 - 1320
  • [48] High-Throughput Proteomics Enabled by a Photocleavable Surfactant
    Brown, Kyle A.
    Tucholski, Trisha
    Eken, Christian
    Knott, Samantha
    Zhu, Yanlong
    Jin, Song
    Ge, Ying
    Advanced Materials, 2020, 59 (22) : 8484 - 8488
  • [49] Protein microarrays: high-throughput tools for proteomics
    Stoevesandt, Oda
    Taussig, Michael J.
    He, Mingyue
    EXPERT REVIEW OF PROTEOMICS, 2009, 6 (02) : 145 - 157
  • [50] High-throughput proteomics using antibody microarrays
    Wingren, C
    Borrebaeck, CAK
    EXPERT REVIEW OF PROTEOMICS, 2004, 1 (03) : 355 - 364