High-Performance Computing at the NIH
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The NIH HPC group plans, manages and supports high-performance computing systems specifically for the intramural NIH community. These systems include Biowulf, a 90,000+ processor Linux cluster; Helix, an interactive system for short jobs, Sciware, a set of applications for desktops, and Helixweb, which provides a number of web-based scientific tools. We provide access to a wide range of computational applications for genomics, molecular and structural biology, mathematical and graphical analysis, image analysis, and other scientific fields.

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Biowulf Utilization
Sunday, May 20th, 2018
utilization graph
Last 24 hrs
112,784 jobs submitted
97,678 jobs completed
2,855,125 CPU hrs used
20 NIH Institutes
112 Principal Investigators
170 users

Announcements
(All)
Recent Papers that used Biowulf & HPC Resources
(All publications)

thumbnail image from paper Molecular dynamics simulations of lipid nanodiscs
Pourmousa, M; Pastor, RW;
Biochim. Biophys. Acta , DOI://10.1016/j.bbamem.2018.04.015 (2018)

thumbnail image from paper Whole-Exome Sequencing to Identify Rare Variants and Gene Networks that Increase Susceptibility to Scleroderma in African Americans
Gourh, P; Remmers, EF; Boyden, SE et al.
, DOI://10.1002/art.40541 (2018)

thumbnail image from paper The Interplay between Long- and Short-Range Temporal Correlations Shapes Cortex Dynamics across Vigilance States
Meisel, C; Klaus, A; Vyazovskiy, VV; Plenz, D;
J. Neurosci. , DOI://10.1523/JNEUROSCI.0448-17.2017 (2017)

thumbnail image from paper A draft genome sequence for the Ixodes scapularis cell line, ISE6
Miller, JR; Koren, S; Dilley, KA et al.
F1000Res , DOI://10.12688/f1000research.13635.1 (2018)

thumbnail image from paper Insulin promoter in human pancreatic β cells contacts diabetes susceptibility loci and regulates genes affecting insulin metabolism
Jian, X; Felsenfeld, G;
Proc. Natl. Acad. Sci. U.S.A. , DOI://10.1073/pnas.1803146115 (2018)

thumbnail image from paper Organization of the core respiratory network: Insights from optogenetic and modeling studies
Ausborn, J; Koizumi, H; Barnett, WH et al.
PLoS Comput. Biol. , DOI://10.1371/journal.pcbi.1006148 (2018)

thumbnail image from paper Interrogating the Functions of PRDM9 Domains in Meiosis
Thibault-Sennett, S; Yu, Q; Smagulova, F et al.
Genetics , DOI://10.1534/genetics.118.300565 (2018)

thumbnail image from paper Using standard microbiome reference groups to simplify beta-diversity analyses and facilitate independent validation
Maziarz, M; Pfeiffer, RM; Wan, Y; Gail, MH;
Bioinformatics , DOI://10.1093/bioinformatics/bty297 (2018)
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