quantwiz: a scalable parallel software package for label-free protein quantification

	quantwiz: a scalable parallel software package for label-free protein quantification
	Wang Jing; Zhang Yunquan; Zhang Xianyi; Sun Xiangzheng; Quanhu Sheng
	2010
会议名称	2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010
会议录名称	Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010
页码	976-980
会议日期	September
会议地点	Changsha, China
出版地	United States
ISBN	978-1-4244-6437-1
部门归属	Laboratory of Parallel Software and Mathematic Science, Institute of Software, Chinese Academy of Sciences, 4, South 4th Street, Zhongguancun, Beijing, China
摘要	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.
关键词	Computation Theory High Performance Liquid Chromatography Mass Spectrometry Molecular Biology Parallel Algorithms Parallel Architectures Proteins Scalability Software Packages
主办者	IEEE Beijing Section; Hunan University; Liverpool Hope University; Peking University; National Natural Science Foundation of China
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/8872
专题	并行软件与计算科学实验室
推荐引用方式 GB/T 7714	Wang Jing,Zhang Yunquan,Zhang Xianyi,et al. quantwiz: a scalable parallel software package for label-free protein quantification[C]. United States,2010:976-980.

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