| Results: 1-10 of 37 |
Overview and architecture of the Open Science Grid. Principles, best practices, and service decomposition. Overview of governance, technical groups, activities, and short term plans.
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Introduction to HDF5 library, object model, groups, datasets, and data subsetting. Description and motivation of the collaboration project. Normal and object-level SRB file access architecture. The HDF-SRB model, objects, and data flow.
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Overview on searching, navigating, and teaching with NMPDR. Presentations on connecting bioinformatics to the bench, and subsystems annotation. Assignments exploring biosynthesis and pathogenesis. Documents on using GBrowse, and SEED.
***Notice to NMPDR Users***
The NMPDR BRC contract ended in December 2009. At that time we ceased maintenance of the NMPDR web resource and data. The PATRIC team, located at the Virginia Bioinformatics Institute, created and maintains a new consolidated BRC for all of the NIAID category A-C priority pathogenic bacteria. NMPDR is transferring data and software associated to PATRIC for incorporation into their new Web-based bioinformatics resource. Please feel free to contact us if you have any questions about this transition.
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Overview of SRB use in data grids, digital libraries, and persistent archives. Sample
applications include the Southern California Earthquake Center, NSDL, and NARA. Description of
federated server architecture, latency management, and extensibility.
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Description of VO and services like Simple Image Protocol, Image Mosaicking, and Data Inventory. Registry of services, the Palomar-Quest survey and big data services and transformations. Real-time astronomy with VOEvent.
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The nanoHUB is a web-based resource for research, education, and collaboration in nanotechnology. It includes simulations, collaboration tools, learning and teaching materials. The site also allows users to become contributors of new material.
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Introduction to Grids, the Globus Toolkit, and the Commodity Grid (CoG) Kit. Using and programming grids with the Java and Python CoG Kits, including secure access to remote resources, remote job submission and data access.
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Introduction to paraview for visualizing scalars, vectors, and cell data. Additional topics include camera position, menus, pipeline operations, XY plots, and operating modes. Data for exercises is provided.
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Wiki with links pointing to documentation and administrative topics, such as instructions for downloading, building, and installing ParaView. Tutorials for ParaView 2.X and III are also available.
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Introduction to HPC, storage hierarchy, instruction-level parallelism, compiler tricks, shared memory multithreading, distributed multiprocessing, math libraries, I/O, and visualization.
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| Results: 1-10 of 37 |