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.

Recent Papers that used Biowulf & HPC Resources

thumbnail image from paper Conformational analysis of replica exchange MD: Temperature-dependent Markov networks for FF amyloid peptides
Brajesh Narayan, Colm Herbert, Ye Yuan, Brian J. Rodriguez, Bernard R. Brooks, and Nicolae-Viorel Buchete
J. Chem. Phys. , 10.1063/1.5027580 (2018)

Recurrent genomic copy alterations deregulate the transcriptome and key signaling networks in head and neck cancer cell lines and tumors with worse prognosis
Hui Cheng, Xinping Yang, Han Si, Anthony Saleh, Wenming Xiao, Jamie Coupar, Susanne M. Gollin, Robert L. Ferris, Natalia Issaeva, Wendell G. Yarbrough, Mark E. Prince, Thomas E. Carey, Carter Van Waes and Zhong Chen
Cancer Research , 10.1158/1538-7445.AM2018-5346 (2018)

thumbnail image from paper A feasibility study to reduce misclassification error in occupational dose estimates for epidemiological studies using body size-dependent computational phantoms
Sarah Kim, Lienard Chang, Elizabeth Mosher, Choonik Lee, and Choonsik
IEEE Transactions on Radiation and Plasma Medical Sciences , 0.1109/TRPMS.2018.2847227 (2018)

thumbnail image from paper Visualizing Deep Learning Activations for Improved Malaria Cell Classification
Rajaraman S, Antani SK, Jaeger S
Proceedings of Machine Learning Research (PMLR), v69, p40-47 (2018)

thumbnail image from paper Visualizing abnormalities in chest radiographs through salient network activations in Deep Learning
Rajaraman S, Antani SK, Xue Z, Candemir S, Jaeger S, Thoma GR
Proc. IEEE Life Sciences Conference (LSC), Sydney, Australia , 10.1109/LSC.2017.826814 (2017)

Comparing deep learning models for population screening using chest radiography
Rajaraman S, Antani SK, Candemir S, Xue Z, Abuya J, Kohli M, Alderson P, Thoma GR
Proc. SPIE 10575, Medical Imaging 2018: Computer-Aided Diagn (2018)

thumbnail image from paper Strand-specific Dual RNA-seq of Bronchial Epithelial cells Infected with Influenza A/H3N2 Viruses Reveals Splicing of Gene Segment 6 and Novel Host-Virus Interactions
Fabozzi, G; Oler, AJ; Liu, P et al.
J. Virol. , DOI://10.1128/JVI.00518-18 (2018)

thumbnail image from paper Defects in the Alternative Splicing-Dependent Regulation of REST Cause Deafness
Nakano, Y; Kelly, MC; Rehman, AU et al.
Cell , DOI://10.1016/j.cell.2018.06.004 (2018)