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Title:
quantwiz: a scalable parallel software package for label-free protein quantification
Author: Wang Jing ; Zhang Yunquan ; Zhang Xianyi ; Sun Xiangzheng ; Quanhu Sheng
Source: Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010
Conference Name: 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010
Conference Date: September
Issued Date: 2010
Conference Place: Changsha, China
Keyword: Computation theory ; High performance liquid chromatography ; Mass spectrometry ; Molecular biology ; Parallel algorithms ; Parallel architectures ; Proteins ; Scalability ; Software packages
Publish Place: United States
ISBN: 978-1-4244-6437-1
Department: Laboratory of Parallel Software and Mathematic Science, Institute of Software, Chinese Academy of Sciences, 4, South 4th Street, Zhongguancun, Beijing, China
Sponsorship: IEEE Beijing Section; Hunan University; Liverpool Hope University; Peking University; National Natural Science Foundation of China
English Abstract: In the context of the prosperous development of Proteomics in life science, protein quantification, especially these based on Mass Spectrometry (short for MS) method, becomes an essential part of research. In our previous work, we developed a new software package called QuantWiz for high performance Liquid Chromatography (short for LC)-MS-based label-free protein quantification. We solved those problems of portability, applicability and longtime running existed in other software for protein quantification based on MS method. In this paper, we first compared the LC-MS-based label-free protein quantification accuracy of QuantWiz with the well-known Census software package. Then we designed and implemented a distributed memory version parallel algorithm for QuantWiz. Finally, we performed scalability testing of our new parallel algorithm and showed that our new parallel algorithm can scale up to 512 processes on Dawning 5000A.
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/8872
Appears in Collections:并行计算实验室 _会议论文

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Recommended Citation:
Wang Jing,Zhang Yunquan,Zhang Xianyi,et al. quantwiz: a scalable parallel software package for label-free protein quantification[C]. 见:2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010. Changsha, China. September.
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