The University of Medicine and Dentistry of New Jersey (UMDNJ) and Rutgers University were joined by an act of the State Legislature, effective July 1, 2013. This newly enlarged Rutgers University integrates the medical and dental specialists from UMDNJ into a world-class biomedical research institution. Our researchers across the departments of Medicine, Biology, Genetics, Chemistry, Math, Pharmacology, Biochemistry, Chemical and Biochemical Engineering, Molecular Biology and Obstetrics are involved in well-funded research projects that have a need for a large computational resource. In total, these researchers have 64 NIH-funded grants with total annual direct costs of > $60M. Many of the investigators are struggling to perform their calculations on the limited computational resources that are currently at our disposal. Other researchers are not able to realize the full potential of their research due to the lack of sufficient computation. For example, some molecular dynamics simulations will produce more realistic results if the system could be modeled for intervals of up to 1 microsecond, but the limit with our current infrastructure is tens of nanoseconds per month for most systems. As another example, genomics researchers have hundreds of exomes and RNA-seq samples that need to be processed and analyzed, but the research is moving at a slow pace due to the bottle-neck of the analysis pipeline. We are proposing a cluster with 2,800 computational cores, 128GB of RAM per compute node and 465TB of storage in a state-of- the-art, energy efficient, cluster configuration. The use, also, of very fast node interconnects (FDR Infiniband) provides the appropriate fabric for problems that are highly scalable, such as molecular dynamics and docking while at the same time supporting the execution of thousands of individual serial jobs. The new computational cluster will enhance the research of our investigators, taking it to levels unattainable with existing resources. This computational cluster will set a new paradigm for a large-scale, centrally managed resource supporting a broad spectrum of biomedical research.

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 #
1S10OD012346-01A1
Application #
8734820
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Klosek, Malgorzata
Project Start
2015-03-01
Project End
2016-02-29
Budget Start
2015-03-01
Budget End
2016-02-29
Support Year
1
Fiscal Year
2015
Total Cost
Indirect Cost
Name
Rutgers University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
078795851
City
Newark
State
NJ
Country
United States
Zip Code
Severson, Eric A; Riedlinger, Gregory M; Connelly, Caitlin F et al. (2018) Detection of clonal hematopoiesis of indeterminate potential in clinical sequencing of solid tumor specimens. Blood 131:2501-2505
Obr, Alison E; Kumar, Sushil; Chang, Yun-Juan et al. (2018) Insulin-like growth factor receptor signaling in breast tumor epithelium protects cells from endoplasmic reticulum stress and regulates the tumor microenvironment. Breast Cancer Res 20:138
Rabadan, Raul; Bhanot, Gyan; Marsilio, Sonia et al. (2018) On statistical modeling of sequencing noise in high depth data to assess tumor evolution. J Stat Phys 172:143-155
Bouchard, Jill J; Xia, Junchao; Case, David A et al. (2018) Enhanced Sampling of Interdomain Motion Using Map-Restrained Langevin Dynamics and NMR: Application to Pin1. J Mol Biol 430:2164-2180
Shi, Honglue; Clay, Mary C; Rangadurai, Atul et al. (2018) Atomic structures of excited state A-T Hoogsteen base pairs in duplex DNA by combining NMR relaxation dispersion, mutagenesis, and chemical shift calculations. J Biomol NMR 70:229-244
Kraus, Jodi; Gupta, Rupal; Yehl, Jenna et al. (2018) Chemical Shifts of the Carbohydrate Binding Domain of Galectin-3 from Magic Angle Spinning NMR and Hybrid Quantum Mechanics/Molecular Mechanics Calculations. J Phys Chem B 122:2931-2939
Chan, Chang S; Laddha, Saurabh V; Lewis, Peter W et al. (2018) ATRX, DAXX or MEN1 mutant pancreatic neuroendocrine tumors are a distinct alpha-cell signature subgroup. Nat Commun 9:4158
Hadigol, Mohammad; Khiabanian, Hossein (2018) MERIT reveals the impact of genomic context on sequencing error rate in ultra-deep applications. BMC Bioinformatics 19:219
Lee, Jongin; Lee, Daehwan; Sim, Mikang et al. (2018) mySyntenyPortal: an application package to construct websites for synteny block analysis. BMC Bioinformatics 19:216
Lee, Tai-Sung; Cerutti, David S; Mermelstein, Dan et al. (2018) GPU-Accelerated Molecular Dynamics and Free Energy Methods in Amber18: Performance Enhancements and New Features. J Chem Inf Model 58:2043-2050

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