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

80.4+ Million CPU hours used
1.8+ Million jobs run

Sample projects (All projects):

  • Determining the incidence of age-related clonal hematopoiesis in mild vs. severe COVID-19 patient [NHLBI]
  • Genome-wide association study of COVID-19 genetic variants vs. phenotypes in the UK BioBank [NHLBI]
  • Covid-19 transmission modeling and crossover trials. Developing models for flow cytometry data that will be used to gain insights into cellular immune responses to COVID-19 [NIAID]
  • MD Simulations and Glycan Network Analysis of SARS-COV-2 spike protein [NHLBI]
  • (1) Identification of drugs that can be repurposed for COVID-19 (2) Using genetic interactions like synthetic lethality and genome scale metabolic modeling to identify new drug targets and combination therapy for COVID-19 [NCI]
  • Transcriptomics and network analysis of SARS-CoV-2 infection [NHLBI]
  • Metagenomics of Covid-19 family [NLM]
Biowulf users with COVID-related projects should contact the HPC staff to get increased priority for their jobs.

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Biowulf Utilization
Wednesday, December 8th, 2021
utilization graph
Last 24 hrs
120,134 jobs submitted
95,953 jobs completed
3,120,517 CPU hrs used
25 NIH Institutes
249 Principal Investigators
488 users

Recent Papers that used Biowulf & HPC Resources

thumbnail image from paper Immuno-transcriptomic profiling of extracranial pediatric solid malignancies
Brohl, AS; Sindiri, S; Wei, JS et al.
Cell Rep , DOI://10.1016/j.celrep.2021.110047 (2021)

thumbnail image from paper Inferred expression regulator activities suggest genes mediating cardiometabolic genetic signals
Hoskins, JW; Chung, CC; O'Brien, A et al.
PLoS Comput Biol , DOI://10.1371/journal.pcbi.1009563 (2021)

thumbnail image from paper Single-nucleus transcriptomic analysis of human dorsal root ganglion neurons
Nguyen, MQ; von Buchholtz, LJ; Reker, AN et al.
Elife , DOI://10.7554/eLife.71752 (2021)

thumbnail image from paper Multiview confocal super-resolution microscopy
Wu, Y; Han, X; Su, Y et al.
Nature , DOI://10.1038/s41586-021-04110-0 (2021)

thumbnail image from paper Antipsychotic medication-mediated cognitive change in schizophrenia and polygenic score for cognitive ability
Blackman, RK; Dickinson, D; Eisenberg, DP et al.
Schizophr Res Cogn , DOI://10.1016/j.scog.2021.100223 (2022)

thumbnail image from paper Genome-Guided Discovery of Natural Products through Multiplexed Low-Coverage Whole-Genome Sequencing of Soil Actinomycetes on Oxford Nanopore Flongle
Rajwani, R; Ohlemacher, SI; Zhao, G et al.
mSystems , DOI://10.1128/mSystems.01020-21 (2021)

thumbnail image from paper Cataloging Human PRDM9 Allelic Variation Using Long-Read Sequencing Reveals PRDM9 Population Specificity and Two Distinct Groupings of Related Alleles
Alleva, B; Brick, K; Pratto, F et al.
Front Cell Dev Biol , DOI://10.3389/fcell.2021.675286 (2021)

thumbnail image from paper Integration of adeno-associated virus (AAV) into the genomes of most Thai and Mongolian liver cancer patients does not induce oncogenesis
Schäffer, AA; Dominguez, DA; Chapman, LM et al.
BMC Genomics , DOI://10.1186/s12864-021-08098-9 (2021)

thumbnail image from paper Extended antibody-framework-to-antigen distance observed exclusively with broad HIV-1-neutralizing antibodies recognizing glycan-dense surfaces
Lee, M; Changela, A; Gorman, J et al.
Nat Commun , DOI://10.1038/s41467-021-26579-z (2021)

thumbnail image from paper Whole genome and exome sequencing reference datasets from a multi-center and cross-platform benchmark study
Zhao, Y; Fang, LT; Shen, TW et al.
Sci Data , DOI://10.1038/s41597-021-01077-5 (2021)