Biowulf High Performance Computing at the NIH

Covid-19 Research Support on Biowulf

9.2+ Million CPU hours used
233+ Thousand jobs run

Coronavirus-related work being performed on Biowulf by NIH intramural researchers includes:

Covid-Related Preprint Papers Utilizing Biowulf

Preprints are complete and public drafts of scientific documents, not yet peer reviewed. (More about preprints)

thumbnail image from paper Statistical Physics of Epidemic on Network Predictions for SARS-CoV-2 Parameters
Han, J; Cresswell-Clay, EC; Periwal, V
ArXiv (2020)

thumbnail image from paper Critical Sequence Hot-spots for Binding of nCOV-2019 to ACE2 as Evaluated by Molecular Simulations
Ghorbani, M; Brooks, BR; Klauda JB
bioRxiv (2020)

thumbnail image from paper Systematic Cell Line-Based Identification of Drugs Modifying ACE2 Expression
Sinha, S; Cheng, K; Aldape, K; Schiff, E; Ruppin, E (2020)

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, YX; Lee, S; Zhu, Y; Summers, RM; Lu, Z;
ArXiv (2020)

thumbnail image from paper Global prediction of unreported SARS-CoV2 infection from observed COVID-19 cases
Chow, CC; Chang, JC; Gerkin, RC; Vattikuti, S;
medRxiv (2020)

thumbnail image from paper Activation of the SARS-CoV-2 receptor Ace2 by cytokines through pan JAK-STAT enhancers
Hennighausen, L; Lee, HK;
bioRxiv (2020)

thumbnail image from paper Network Analysis and Transcriptome Profiling Identify Autophagic and Mitochondrial Dysfunctions in SARS-CoV-2 Infection
Singh, K; Chen, YC; Judy, JT; Seifuddin, F; Tunc, I; Pirooznia, M;
bioRxiv (2020)