Conference proceeding
A Service Computing Framework for Proteomics Analysis and Collaboration of Pathogenic Mechanism Studies
2020 IEEE International Conference on Services Computing (SCC), pp.463-465
2020 IEEE International Conference on Services Computing (SCC) (Beijing, China, 07/11/2020–11/11/2020)
12/2020
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Source: InCites
Abstract
The booming of proteomics data has positioned multiple disciplines and research areas in a more complicated and challenging place. Moreover, the proteomics data of any defined research interests, such as for pathogenic mechanism studies of infectious diseases, have presented unstructured and heterogeneous characteristics. Thus, a service computing framework for proteomics analysis is desired to bring biologists and computer scientists into this area seamlessly and efficiently. With this regard, this work is dedicated to detail the proteomics analysis and collaboration process of pathogenic mechanism studies. We articulate this framework to serve the requirements and ease the task design by broadly reviewing the state-of-the- art research and development efforts and collectively designing different informative stages. Thus, the framework has a focus of distilling different aspects, including data curation, resources distribution, standard construction and computational tasks identification, into the proteomics analysis. The framework is designed as Proteomics Analysis as a Service to deepen the understanding of the interdisciplinary research.
Details
- Title
- A Service Computing Framework for Proteomics Analysis and Collaboration of Pathogenic Mechanism Studies
- Creators
- Huaming Chen - University of WollongongFucun Li - University of WollongongGeng Sun - University of WollongongXuyun Zhang - Macquarie UniversityXianjun Dong - Harvard Medical SchoolLei Wang - University of WollongongKewen Liao - Australian Catholic UniversityHaifeng Shen - Australian Catholic UniversityJun Shen - University of Wollongong
- Publication Details
- 2020 IEEE International Conference on Services Computing (SCC), pp.463-465
- Conference
- 2020 IEEE International Conference on Services Computing (SCC) (Beijing, China, 07/11/2020–11/11/2020)
- Publisher
- IEEE
- Identifiers
- 991013173412602368
- Academic Unit
- Faculty of Science and Engineering
- Language
- English
- Resource Type
- Conference proceeding