Ontology Learning for the Semantic Web
Ontology Learning for the Semantic Web
Preprocessing of Mass Spectrometry Proteomics Data on the Grid
CBMS '05 Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems
A taxonomy of scientific workflow systems for grid computing
ACM SIGMOD Record
Algorithms for alignment of mass spectrometry proteomic data
Bioinformatics
Managing ontologies for grid computing
Multiagent and Grid Systems
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Sharing mass spectrometry data in a grid-based distributed proteomics laboratory
Information Processing and Management: an International Journal
Concurrency and Computation: Practice & Experience - Progress of the Knowledge Grid (SKG2005)
An Interactive Tool for the Management and Visualization of Mass-Spectrometry Proteomics Data
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Globus toolkit version 4: software for service-oriented systems
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
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Proteomics is about the study of the proteins expressed in an organism or a cell. Computational Proteomics regards the computational methods, algorithms, databases, and methodologies used to manage, analyze and interpret the data produced in proteomics experiments. The broad application of proteomics and the increasing resolution offered by technological platforms, especially in Mass Spectrometry-based high-throughput proteomics, make the analysis of proteomics experiments difficult and error prone without efficient algorithms and easy-to-use tools. The paper discusses the requirements of Mass Spectrometrybased Computational Proteomics applications and surveys important services, standards, and technologies useful to build modular, scalable and reusable applications in this field.