Below is a schedule of prices for Research Computing resources.
Rivanna Allocations Type SU Limits Cost SU Lifetime Standard 100,000 per application; renewable (400K SUs max per fiscal year) Free 12 months Deans’ Allocations None Free 12 months by default, negotiable Purchased None $0.015 (<1M SUs); $0.01 (=1M SUs) Forever Instructional 25,000 Free 2 weeks after last teaching session ** Non-UVA personnel are charged at a rate of $0.07/SU About Allocations
Storage Name Security Cost Project Standard $60 TB/year Value Standard $45 TB/year ZFS Standard $30 TB/year Ivy Central Storage High $45 TB/year Ivy NAS Storage High $60 TB/year Storage Details Request Storage
OMERO is a database for management of imaging data. UVA is is hosting a centralized OMERO database instance backed by centralized storage that facilitates sharing, processing and annotating images for your research group and invited collaborators.
Overview With the advent of high-throughput screening, the need for efficient image management tools is greater than ever. From the microscope to publication, OMERO is a database solution that handles all your images in a secure central repository. You can view, organize, analyze and share your data from anywhere you have internet access. Work with your images from a desktop app (Windows, Mac or Linux), on UVA’s high performance computing platform (Rivanna), from the web, or through 3rd party software like Fiji and ImageJ, Python, and MATLAB.
From the microscope to publication, OMERO handles all your images in a secure central repository. You can view, organize, analyze and share your data from anywhere you have internet access. Work with your images from a desktop app (Windows, Mac or Linux), from the web or from 3rd party software. Over 140 image file formats supported, including all major microscope formats.
Use the form below to request access for your group or lab to manage and analyze data in our OMERO database service.
Name * E-mail * User ID * Classification * - Select -FacultyStaffPostdoctoral AssociateOther Affiliation * - Select - College of Arts & Sciences School of Data Science School of Engineering and Applied Sciences School of Medicine Darden School of Business UVA Health System Other Type of Request * Create new storage share Increase size of existing share Decrease size of existing share Retire existing share Data Sensitivity Moderately sensitive / public Space (TB) * The size of storage to be created/retired, or the amount of the increase/decrease to your storage.
Image Processing and Scientific Visualization are two separate processes within the scientific research lifecycle, yet the two concepts often play off of one another. Image processing refers to the enhancement and transformation of images to prepare them for quantitative analysis. Scientific visualization is the graphical communication of data so that trends and anomalies can be more easily recognized. UVa Research Computing offers many services and resources to help researchers augment their work with image processing and scientific visualization techniques. Image Processing Overview Image processing encompasses a variety of techniques to prepare images for analysis. Researchers often need to remove noise artifacts from their imaging data, or they need to analyze particular regions of interest.
Tools and software projects that UVA Research Computing has collaborated on:
LOLAweb LOLAweb is a web server and interactive results viewer for enrichment of overlap between a user-provided query region set (a bed file) and a database of region sets. It provides an interactive result explorer to visualize the highest ranked enrichments from the database. LOLAweb is a web interface to the LOLA R package. Launch LOLAweb BARTweb There are a number of commercially licensed tools available to UVa researchers for free. These products, including UVa Box, Dropbox (Health System) and CrashPlan, are most suitable for small-scale storage needs.