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 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.

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Biowulf Utilization
Monday, August 20th, 2018
utilization graph
Last 24 hrs
72,120 jobs submitted
40,471 jobs completed
2,277,988 CPU hrs used
21 NIH Institutes
98 Principal Investigators
154 users

Announcements
Recent Papers that used Biowulf & HPC Resources

thumbnail image from paper A coevolution-guided model for the rotor of the bacterial flagellar motor
Khan, S; Guo, TW; Misra, S;
Sci Rep , DOI://10.1038/s41598-018-30293-0 (2018)

thumbnail image from paper Allosteric KRas4B Can Modulate SOS1 Fast and Slow Ras Activation Cycles
Liao, TJ; Jang, H; Fushman, D; Nussinov, R;
Biophys. J. , DOI://10.1016/j.bpj.2018.07.016 (2018)

thumbnail image from paper Re-analysis of Whole Genome Sequence Data From 279 Ancient Eurasians Reveals Substantial Ancestral Heterogeneity
Shriner, D
Front Genet , DOI://10.3389/fgene.2018.00268 (2018)

thumbnail image from paper A multiprotein supercomplex controlling oncogenic signalling in lymphoma
Phelan, JD; Young, RM; Webster, DE et al.
Nature , DOI://10.1038/s41586-018-0290-0 (2018)

Association of Coffee Drinking With Mortality by Genetic Variation in Caffeine Metabolism: Findings From the UK Biobank
Loftfield, E; Cornelis, MC; Caporaso, N; Yu, K; Sinha, R; Freedman, N;
JAMA Intern Med , DOI://10.1001/jamainternmed.2018.2425 (2018)

thumbnail image from paper Cone-rod homeobox CRX controls presynaptic active zone formation in photoreceptors of mammalian retina
Assawachananont, J; Kim, SY; Kaya, KD; Fariss, R; Roger, JE; Swaroop, A;
Hum. Mol. Genet. , DOI://10.1093/hmg/ddy272 (2018)

thumbnail image from paper Prediction of CB[8] host-guest binding free energies in SAMPL6 using the double-decoupling method
Han, K; Hudson, PS; Jones, MR; Nishikawa, N; Tofoleanu, F; Brooks, BR;
J. Comput. Aided Mol. Des. , DOI://10.1007/s10822-018-0144-8 (2018)

thumbnail image from paper ATAC2GRN: optimized ATAC-seq and DNase1-seq pipelines for rapid and accurate genome regulatory network inference
Pranzatelli, TJF; Michael, DG; Chiorini, JA;
BMC Genomics , DOI://10.1186/s12864-018-4943-z (2018)