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
Friday, December 15th, 2017
utilization graph
Last 24 hrs
125,426 jobs submitted
99,338 jobs completed
1,895,224 CPU hrs used
24 NIH Institutes
167 Principal Investigators
311 users

Recent Papers that used Biowulf & HPC Resources

thumbnail image from paper Integrative Genomic Analysis of Coincident Cancer Foci Implicates CTNNB1 and PTEN Alterations in Ductal Prostate Cancer
Gillard, M; Lack, J; Pontier, A et al.
Eur Urol Focus , DOI://10.1016/j.euf.2017.12.003 (2017)

Holistic segmentation of the lung in cine MRI
Kovacs, W; Hsieh, N; Roth, H et al.
J Med Imaging (Bellingham) , DOI://10.1117/1.JMI.4.4.041310 (2017)

thumbnail image from paper Transcriptomic profiling of the human brain reveals that altered synaptic gene expression is associated with chronological aging
Dillman, AA; Majounie, E; Ding, J et al.
Sci Rep , DOI://10.1038/s41598-017-17322-0 (2017)

thumbnail image from paper In vivo tropism of Salmonella Typhi toxin to cells expressing a multiantennal glycan receptor
Yang, YA; Lee, S; Zhao, J et al.
Nat Microbiol , DOI://10.1038/s41564-017-0076-4 (2017)

thumbnail image from paper Local and global anatomy of antibody-protein antigen recognition
Wang, M; Zhu, D; Zhu, J; Nussinov, R; Ma, B;
J. Mol. Recognit. , DOI://10.1002/jmr.2693 (2017)

thumbnail image from paper A digital 3D atlas of the marmoset brain based on multi-modal MRI
Liu, C; Ye, FQ; Chern-Chyi Yen, C et al.
Neuroimage , DOI://10.1016/j.neuroimage.2017.12.004 (2017)

thumbnail image from paper OCT4 supports extended LIF-independent self-renewal and maintenance of transcriptional and epigenetic networks in embryonic stem cells
He, R; Xhabija, B; Al-Qanber, B; Kidder, BL;
Sci Rep , DOI://10.1038/s41598-017-16611-y (2017)

Power Analysis for Genetic Association Test (PAGEANT) provides insights to challenges for rare variant association studies
Derkach, A; Zhang, H; Chatterjee, N;
Bioinformatics , DOI://10.1093/bioinformatics/btx770 (2017)