The NIH HPC group plans, manages and supports
high-performance computing systems specifically for use by the
intramural NIH community. These systems include
Biowulf,
a 105,000+ processor
Linux cluster;
Helix, an interactive system for
file transfer and management, 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.
The continued growth and support of NIH's Biowulf cluster is dependent upon
its demonstrable value to the NIH Intramural Research Program. If you publish
research that involved significant use of Biowulf, please cite the cluster.
Suggested citation text:
This work utilized the computational resources of the NIH HPC Biowulf cluster (https://hpc.nih.gov).
Quick Links
Biowulf Utilization
Sunday, October 13th, 2024
Last 24 hrs
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51,221 jobs submitted
22,107 jobs completed
3,368,735 CPU hrs used
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23 NIH Institutes
185 Principal Investigators
338 users
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Announcements
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Recent Papers that used Biowulf & HPC Resources
Automated Classification of Multi-parametric Body MRI Series Kim B, Mathai TS, Helm K, Summers RM
IEEE International Symposium on Biomedical Imaging
, https://doi.org/10.1109/ISBI56570.2024.10635686 (2024)
σ28-dependent small RNA regulation of flagella biosynthesis Melamed, S; Zhang, A; Jarnik, M et al.
Elife
, DOI://10.7554/eLife.87151 (2023)
PARP-1 selectively impairs KRAS-driven phenotypic and molecular features in intrahepatic cholangiocarcinoma Keggenhoff, FL; Castven, D; Becker, D et al.
Gut
, DOI://10.1136/gutjnl-2023-331237 (2024)
Structure of Amyloid Peptide Ribbons Characterized by Electron Microscopy, Atomic Force Microscopy, and Solid-State Nuclear Magnetic Resonance Thurber, KR; Yau, WM; Tycko, R; ,
J Phys Chem B
, DOI://10.1021/acs.jpcb.3c07867 (2024)
Disease flares with baricitinib dose reductions and development of flare criteria in patients with CANDLE/PRAAS Cetin Gedik, K; Ortega-Villa, AM; Materne, G et al.
Ann Rheum Dis
, DOI://10.1136/ard-2023-225463 (2024)
Elementary intracellular Ca signals approximated as a transition of release channel system from a metastable state Veron, G; Maltsev, VA; Stern, MD; Maltsev, AV; ,
J Appl Phys
, DOI://10.1063/5.0151255 (2023)
A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics Hoang, DT; Dinstag, G; Shulman, ED et al.
Nat Cancer
, DOI://10.1038/s43018-024-00793-2 (2024)
A Multiomic Analysis to Identify Drivers of Subclinical Vascular Disease in Systemic Lupus Erythematosus Oliveira, C; Temesgen-Oyelakin, Y; Naqi, M et al.
Arthritis Rheumatol
, DOI://10.1002/art.42925 (2024)
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