This year's BIOSG 2017 Workshop on High Throughput Computing in Bioinformatics and Biomedicine using Open Science Grid will be held in Kansas City on Nov. 13 in conjunction with the IEEE BIBM 2017 conference.
We welcome both theoretical and application researchers to submit papers on unpublished and original data-centric work in bioinformatics and biomedicine, with particular emphasis on, but not limited to:
• High-throughput computing workflow development in bioinformatics and biomedicine
• High-throughput computing scientific workflows for next-generation sequencing data analysis
• Distributed processing of bio-signals
• High-throughput computing workflow development for data sharing and analytic collaboration
• Large-scale biological and biomedical data analysis using distributed computing
• High-throughput computing workflows for data mining, visualization, and interpretation
• Drug design and modeling using distributed computing
• High-throughput computing workflow development for visualization and analysis of data in neuroscience
• Modeling and simulation of complex biological processes in distributed environments
• High-throughput computing workflows for biomedical image processing
• Protein docking and modeling using distributed environments
Submit your paper for the workshop by Sept. 20, http://sbbi-panda.unl.edu/bibm2017/.
We welcome both theoretical and application researchers to submit papers on unpublished and original data-centric work in bioinformatics and biomedicine, with particular emphasis on, but not limited to:
• High-throughput computing workflow development in bioinformatics and biomedicine
• High-throughput computing scientific workflows for next-generation sequencing data analysis
• Distributed processing of bio-signals
• High-throughput computing workflow development for data sharing and analytic collaboration
• Large-scale biological and biomedical data analysis using distributed computing
• High-throughput computing workflows for data mining, visualization, and interpretation
• Drug design and modeling using distributed computing
• High-throughput computing workflow development for visualization and analysis of data in neuroscience
• Modeling and simulation of complex biological processes in distributed environments
• High-throughput computing workflows for biomedical image processing
• Protein docking and modeling using distributed environments
Submit your paper for the workshop by Sept. 20, http://sbbi-panda.unl.edu/bibm2017/.
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