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

66.5+ Million CPU hours used
1.5+ Million jobs run

Sample projects (All projects):

  • Cryo-electron microscopy of virus proteins and complexes [NCI_CCR]
  • Metagenomics of Covid-19 family [NLM]
  • 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]
  • (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]
  • Modeling unreported SARS-Cov2 infection from observed cases, computational modeling of Covid-19 biological systems. [NIDDK]
  • Transcriptomics and network analysis of SARS-CoV-2 infection [NHLBI]
  • Studying maturation of the SARS Cov2 main protease [NIDDK]
Biowulf users with COVID-related projects should contact the HPC staff to get increased priority for their jobs.

Quick Links

Biowulf Utilization
Sunday, June 13th, 2021
utilization graph
Last 24 hrs
80,712 jobs submitted
46,085 jobs completed
3,301,122 CPU hrs used
21 NIH Institutes
153 Principal Investigators
264 users

Announcements
Recent Papers that used Biowulf & HPC Resources

thumbnail image from paper Pathogenic Germline Variants in Cancer Susceptibility Genes in Children and Young Adults With Rhabdomyosarcoma
Kim, J; Light, N; Subasri, V et al.
JCO Precis Oncol , DOI://10.1200/PO.20.00218 (2021)

thumbnail image from paper Impact of Conditioning Intensity and Genomics on Relapse After Allogeneic Transplantation for Patients With Myelodysplastic Syndrome
Dillon, LW; Gui, G; Logan, BR et al.
JCO Precis Oncol , DOI://10.1200/PO.20.00355 (2021)

thumbnail image from paper Automated picking of amyloid fibrils from cryo-EM images for helical reconstruction with RELION
Thurber, KR; Yin, Y; Tycko, R; ,
J Struct Biol , DOI://10.1016/j.jsb.2021.107736 (2021)

thumbnail image from paper Comparative Transcriptomic Analysis of the Hematopoietic System between Human and Mouse by Single Cell RNA Sequencing
Gao, S; Wu, Z; Kannan, J et al.
Cells , DOI://10.3390/cells10050973 (2021)

thumbnail image from paper A replica exchange umbrella sampling (REUS) approach to predict host-guest binding free energies in SAMPL8 challenge
Ghorbani, M; Hudson, PS; Jones, MR et al.
J Comput Aided Mol Des , DOI://10.1007/s10822-021-00385-7 (2021)

thumbnail image from paper Bridged parametric survival models: General paradigm and speed improvements
Swihart, BJ; Bandyopadhyay, D; ,
Comput Methods Programs Biomed , DOI://10.1016/j.cmpb.2021.106115 (2021)

thumbnail image from paper Lack of transgenerational effects of ionizing radiation exposure from the Chernobyl accident
Yeager, M; Machiela, MJ; Kothiyal, P et al.
Science , DOI://10.1126/science.abg2365 (2021)

thumbnail image from paper COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature
Peng, Y; Tang, Y; Lee, S et al.
IEEE Trans Big Data , DOI://10.1109/tbdata.2020.3035935 (2021)

thumbnail image from paper Severity modeling of propionic acidemia using clinical and laboratory biomarkers
Shchelochkov, OA; Manoli, I; Juneau, P et al.
Genet Med , DOI://10.1038/s41436-021-01173-2 (2021)

thumbnail image from paper Small RNAs are modified with N-glycans and displayed on the surface of living cells
Flynn, RA; Pedram, K; Malaker, SA et al.
Cell , DOI://10.1016/j.cell.2021.04.023 (2021)