中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
quantwiz: a parallel software package for lc-ms-based label-free protein quantification

文献类型:会议论文

作者Wang Jing ; Zhang Yunquan ; Zhang Xianyi ; Sun Xiangzheng ; Hu Zelin ; Li Sujun ; Zeng Rong
出版日期2009
会议名称11th IEEE International Conference on High Performance Computing and Communications
会议日期JUN 25-27,
会议地点Seoul, SOUTH KOREA
关键词protein quantification mass spectrometry label-free abundance ratio parallelization
英文摘要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 QuaniWiz 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.
会议主办者IEEE Comp Soc, IEEE
会议录2009 11th IEEE International Conference on High Performance Computing and Communications, HPCC 2009
会议录出版者HPCC: 2009 11TH IEEE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS
会议录出版地345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN号978-1-4244-4600-1
源URL[http://124.16.136.157/handle/311060/8290]  
专题软件研究所_并行计算实验室 _会议论文
推荐引用方式
GB/T 7714
Wang Jing,Zhang Yunquan,Zhang Xianyi,et al. quantwiz: a parallel software package for lc-ms-based label-free protein quantification[C]. 见:11th IEEE International Conference on High Performance Computing and Communications. Seoul, SOUTH KOREA. JUN 25-27,.

入库方式: OAI收割

来源:软件研究所

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