Scientists at UC Riverside work on a wide spectrum of research topics critical to human health including neuroscience, cancer research, environmental health, wound healing, degenerative and infectious diseases. Modern large-scale genomics and computational modeling approaches are routinely applied in this research, such as next generation sequencing (NGS) and numerous other high- throughput technologies. Because these technologies output extremely large data sets, disk-based data storage required to process these """"""""Big Data"""""""" efficiently has become a major bottleneck to support the computational needs of NIH-funded biomedical research. UC Riverside's research compute infrastructure is provided by a central bioinformatics facility located in the Institute for Integrative Genome Biology (IIGB), which houses three additional technology cores (Genomics, Microscopy and Proteomics). However, due to the very high demand, the existing storage systems of the bioinformatics facility are operating at maximum capacity impacting its ability to support data intensive biomedical research. This data overflow results often in delays of processing new research data sets in a time- efficient manner, thus slowing down the discovery process of many projects. The objective of this application is to resolve this shortage of data storage resources by requesting funds for the acquisition of a highly scalable disk storage system dedicated to provide long-term support for data intensive NIH research at UC Riverside. Because our disk storage needs (currently ~150TB) increase by a factor of nearly two every year, a storage system with 750GB is required to support our current storage growth rates for the next three years. Funding for growth well beyond year three will be provided by a well- established recharging system. IIGB's bioinformatics facility operates across departments and is committed to serve a broad user base. Thus, the funding for the requested storage system will be a highly cost-effective investment and it will reach a maximum number of NIH investigators at UC Riverside. Moreover, it will benefit a rapidly growing number of new biomedical researchers moving to UC Riverside, as it will be the site of the first new medical school in California in decades. Combined with UC Riverside's diverse ethnicity and research mission, this investment will benefit a wide array of biomedical research directions at a campus that is a major economic driving force in the Inland Empire region of California.

Agency
National Institute of Health (NIH)
Institute
Office of The Director, National Institutes of Health (OD)
Type
Biomedical Research Support Shared Instrumentation Grants (S10)
Project #
1S10OD016290-01A1
Application #
8640738
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Levy, Abraham
Project Start
2014-05-01
Project End
2015-04-30
Budget Start
2014-05-01
Budget End
2015-04-30
Support Year
1
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of California Riverside
Department
Other Basic Sciences
Type
Earth Sciences/Resources
DUNS #
City
Riverside
State
CA
Country
United States
Zip Code
92521
Coleine, Claudia; Stajich, Jason E; Zucconi, Laura et al. (2018) Antarctic Cryptoendolithic Fungal Communities Are Highly Adapted and Dominated by Lecanoromycetes and Dothideomycetes. Front Microbiol 9:1392
Coleine, Claudia; Zucconi, Laura; Onofri, Silvano et al. (2018) Sun Exposure Shapes Functional Grouping of Fungi in Cryptoendolithic Antarctic Communities. Life (Basel) 8:
Leonard, Guy; Labarre, Aurélie; Milner, David S et al. (2018) Comparative genomic analysis of the 'pseudofungus' Hyphochytrium catenoides. Open Biol 8:
Barr, Tasha; Sureshchandra, Suhas; Ruegger, Paul et al. (2018) Concurrent gut transcriptome and microbiota profiling following chronic ethanol consumption in nonhuman primates. Gut Microbes 9:338-356
Li, Yahui; Estep, Jason A; Karginov, Fedor V (2018) Transcriptome-wide Identification and Validation of Interactions between the miRNA Machinery and HuR on mRNA Targets. J Mol Biol 430:285-296
Gryganskyi, Andrii P; Golan, Jacob; Dolatabadi, Somayeh et al. (2018) Phylogenetic and Phylogenomic Definition of Rhizopus Species. G3 (Bethesda) 8:2007-2018
Kirkland, Theo N; Muszewska, Anna; Stajich, Jason E (2018) Analysis of Transposable Elements in Coccidioides Species. J Fungi (Basel) 4:
Lapp, S A; Geraldo, J A; Chien, J-T et al. (2018) PacBio assembly of a Plasmodium knowlesi genome sequence with Hi-C correction and manual annotation of the SICAvar gene family. Parasitology 145:71-84
Beaudet, Denis; Chen, Eric C H; Mathieu, Stephanie et al. (2018) Ultra-low input transcriptomics reveal the spore functional content and phylogenetic affiliations of poorly studied arbuscular mycorrhizal fungi. DNA Res 25:217-227
Teixeira, Marcella A; Sela, Noa; Atamian, Hagop S et al. (2018) Sequence analysis of the potato aphid Macrosiphum euphorbiae transcriptome identified two new viruses. PLoS One 13:e0193239

Showing the most recent 10 out of 61 publications