IWCP 2012 - Intermational Workshop on Computational Proteomics

With advances in proteomic technologies, a large amount of proteomic data such as tandem mass spectral data and protein-protein interaction data have been and continue to be produced. These data combined with genomic data contain insightful information for understanding the mechanism of biological systems and have been proved useful in diagnosis, treatment, and drug design for genomic-alerted diseases. However, compared to genomic data, much less attention has been paid to proteomic data.
As proteomic data are large-scale, it is not possible to manually analyze these data. Therefore computing plays a key role in proteomics. In this workshop, we strongly encourage authors to submit their original studies describing their algorithmic and methodological contributions to proteomics.
Topics
This full day workshop will address the computational issues in proteomics and its related areas. Possible topics of interest include, but are not limited to the following:
Tandem mass spectral data analysis
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Peptide and protein identification from mass spectra
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Protein structure and function prediction
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Data models and integration for proteomics
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Construction and analysis of protein-protein interaction (PPI) networks
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Cancer research and biomarker discovery in PPI networks
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Data mining and graph theory for proteomics
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Parallel and grid-based methods for proteomics
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Knowledge management, text mining and ontologies for proteomics
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Software and visualization of proteomic data
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Meta-proteomics and Meta-genomics
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Genetic network modeling and simulation
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Network model based analysis methods for molecular target identification
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Dynamics and control of genetic regulatory networks
The selected papers from the workshop will be invited to submit to a special issue of either prestigious (SCI-indexed) journals, Proteomics, or Proteome Science.