Biowulf High Performance Computing at the NIH

The NIH HPC group plans, manages and supports high-performance computing systems specifically for the intramural NIH community. These systems include Biowulf, a 105,000+ processor Linux cluster; Helix, an interactive system for file transfer and management, 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.

Current Status    All Services Operational

COVID-19 Research Support

21.2+ Million CPU hours used
493+ Thousand jobs run

Sample projects (All projects):

  • In silico screening of drug candidates [NCI]
  • Stochastic modeling of COVID-19 pandemic infection patterns [NIA]
  • Assessing newly generated and previously known compounds for activity against SARS-Cov-2 [NCI]
  • Genetic Determinants of Susceptibility to Severe COVID-19 Infection [NIAID]
  • Text mining of COVID-related scientific literature in LitCovid and CORD-19 [NLM/NCBI]
  • Image processing and text mining of clinical data for the NIAID COVID Data Management Working Group [NIAID]
  • Transcriptomics and network analysis of SARS-CoV-2 infection [NHLBI]
Biowulf users with COVID-related projects should contact the HPC staff to get increased priority for their jobs.

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Biowulf Utilization
Saturday, September 26th, 2020
utilization graph
Last 24 hrs
77,610 jobs submitted
53,170 jobs completed
3,320,455 CPU hrs used
22 NIH Institutes
171 Principal Investigators
299 users

Recent Papers that used Biowulf & HPC Resources

Untangling the relatedness among correlations, part III: Inter-subject correlation analysis through Bayesian multilevel modeling for naturalistic scanning
Chen, G; Taylor, PA; Qu, X et al.
Neuroimage , DOI://10.1016/j.neuroimage.2019.116474 (2020)

thumbnail image from paper Formation and Properties of a Self-Assembled Nanoparticle-Supported Lipid Bilayer Probed through Molecular Dynamics Simulations
Jing, H; Wang, Y; Desai, PR; Ramamurthi, KS; Das, S; ,
Langmuir , DOI://10.1021/acs.langmuir.0c00593 (2020)

Pan-cancer analysis of whole genomes
ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium
Nature , DOI://10.1038/s41586-020-1969-6 (2020)

[Imaging of Tumor-Specific Hypoxia Dynamics and Its Significance in Radiation Biology]
Yasui, H; Matsumoto, S; Inanami, O; Krishna, MC; ,
Igaku Butsuri , DOI://10.11323/jjmp.40.1_13 (2020)

thumbnail image from paper Structural Features that Distinguish Inactive and Active PI3K Lipid Kinases
Zhang, M; Jang, H; Nussinov, R; ,
J. Mol. Biol. , DOI://10.1016/j.jmb.2020.09.002 (2020)

thumbnail image from paper Targeting the PI3K/AKT Pathway Overcomes Enzalutamide Resistance by Inhibiting Induction of the Glucocorticoid Receptor
Adelaiye-Ogala, R; Gryder, BE; Nguyen, YTM et al.
Mol. Cancer Ther. , DOI://10.1158/1535-7163.MCT-19-0936 (2020)

thumbnail image from paper Knockout of the caspase 8 associated protein 2 gene improves recombinant protein expression in HEK293 cells through up-regulation of the cyclin-dependent kinase inhibitor 2A gene
Abaandou, L; Sharma, AK; Shiloach, J; ,
Biotechnol. Bioeng. , DOI://10.1002/bit.27561 (2020)

thumbnail image from paper Voriconazole and the Risk of Keratinocyte Carcinomas Among Lung Transplant Recipients in the United States
D'Arcy, ME; Pfeiffer, RM; Rivera, DR et al.
JAMA Dermatol , DOI://10.1001/jamadermatol.2020.1141 (2020)

thumbnail image from paper Amphetamines signal through intracellular TAAR1 receptors coupled to Gα13 and GαS in discrete subcellular domains
Underhill, SM; Hullihen, PD; Chen, J et al.
Mol. Psychiatry , DOI://10.1038/s41380-019-0469-2 (2019)

thumbnail image from paper GATA3-Controlled Nucleosome Eviction Drives MYC Enhancer Activity in T-cell Development and Leukemia
Belver, L; Yang, AY; Albero, R et al.
Cancer Discov , DOI://10.1158/2159-8290.CD-19-0471 (2019)