• DocumentCode
    2572523
  • Title

    QuantWiz: A Parallel Software Package for LC-MS-based Label-Free Protein Quantification

  • Author

    Wang, Jing ; Zhang, Yunquan ; Zhang, Xianyi ; Sun, Xiangzheng ; Hu, Zelin ; Li, Sujun ; Zeng, Rong

  • Author_Institution
    Lab. of Parallel Comput., Chinese Acad. of Sci., Beijing, China
  • fYear
    2009
  • fDate
    25-27 June 2009
  • Firstpage
    683
  • Lastpage
    687
  • Abstract
    Nowadays proteomics becomes more and more popular in life science. Protein quantification, especially based on mass spectrometry (short for MS) method, is perceived as an essential part of research on proteomics. There have been some algorithms and software for protein quantification based on MS. But they have difficulties on portability, applicability and longtime running. To solve these problems, we developed a new domestic parallel software package called QuantWiz for high performance liquid chromatography (short for LC)-MS-based label-free protein quantification. In this paper, we described the framework design and prototype development of this high performance software package firstly. Also, user interface developed for the visualization of QuantWiz is introduced. Finally, we showed implementation of the parallelization version and performance of some experiments on this software package.
  • Keywords
    biology computing; mass spectroscopy; proteins; proteomics; software packages; LC-MS-based label-free protein quantification; QuantWiz; liquid chromatography; mass spectrometry method; parallel software package; proteomics; Biology; Laboratories; Mass spectroscopy; Peptides; Proteins; Proteomics; Software algorithms; Software design; Software packages; Throughput; abundance ratio; label-free; mass spectrometry; parallelization; protein quantification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Communications, 2009. HPCC '09. 11th IEEE International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-4600-1
  • Electronic_ISBN
    978-0-7695-3738-2
  • Type

    conf

  • DOI
    10.1109/HPCC.2009.62
  • Filename
    5167064