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quantwiz: a scalable parallel software package for label-free protein quantification
Wang Jing; Zhang Yunquan; Zhang Xianyi; Sun Xiangzheng; Quanhu Sheng
2010
Conference Name2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010
SourceProceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010
Pages976-980
Conference DateSeptember
Conference PlaceChangsha, China
Publish PlaceUnited States
ISBN978-1-4244-6437-1
DepartmentLaboratory of Parallel Software and Mathematic Science, Institute of Software, Chinese Academy of Sciences, 4, South 4th Street, Zhongguancun, Beijing, China
English AbstractIn 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.
KeywordComputation Theory High Performance Liquid Chromatography Mass Spectrometry Molecular Biology Parallel Algorithms Parallel Architectures Proteins Scalability Software Packages
SponsorshipIEEE Beijing Section; Hunan University; Liverpool Hope University; Peking University; National Natural Science Foundation of China
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/8872
Collection并行软件与计算科学实验室 
Recommended Citation
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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