Featured success stories for SeedMeLab
CIPRES Share - a data sharing resource for all CIPRES Science Gateway users where they can seamlessly transfer their results and share them privately with other users or make them public. Additionally, CIPRES Share allows users to describe any file or folder with its context and also preview visualizations of protein structure and phylogenetic trees. A custom integration unifies and synchronizes user accounts between CIPRES Science Gateway and CIPRES Share which is seamless to the users.
FlowGate clinical analysis of cancer flow cytometry data
The FlowGate project, funded by the National Institutes of Health (NIH), is bringing well-vetted research algorithms into clinical use to assist in the diagnosis of cancers. Developed by the J. Craig Venture Institute, in collaboration with the University of California at San Diego (UCSD), the project creates custom hospital-internal web sites that provide custom visualization and analysis tools for HIPPA-protected flow cytometry data.
The NEMAR data archive hosted at the University of California at San Diego (UCSD) is funded by the National Institutes of Mental Health (NIMH) to provide long term published data storage and access for large EEG and MEG datasets. The project is using SeedMeLab software to help search, organize, and share large-scale datasets in the standard BIDS Brain Imaging Data Structure. Collaborators share and annotate data, and use custom visualization tools.
HPC Share at the San Diego Supercomputer Center (SDSC) provides web-accessible storage and collaboration to support supercomputing analysis and simulation. SeedMeLab software is used to manage supercomputing job parameters, scripts, and results. REST tools support script-driven data upload from supercomputing jobs, and data download to longer term data archives or local systems for further analysis. The site is available to over 600 users of the center's supercomputing cluster.
The Laser Plasma Lab at the University of California at San Diego (UCSD) is developing computer simulations to study directed laser acceleration in megatesla magnetic fields, the effects of a strong applied magnetic fields on relativistic laser-plasma interactions, and high energy radiation and particle beams generated using extreme magnetic fields. The lab is using SeedMeLab to organize and share complex data sets, images, and animations among the group's members and collaborators.
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