Scientific Supercomputing at the NIH
The Helix Systems group is responsible for the planning and management of high-performance computing systems specifically for the intramural NIH community. These systems include Helix, a multiprocessor shared-memory system for interactive use; Biowulf, a 6300+ processor Linux cluster; and Helixweb, which provides a number of scientific tools via the web. We provide access to a wide range of computational applications for molecular and structural biology, mathematical and graphical analysis, and other scientific fields.



Recent Publications Citing Helix and Biowulf:

Influence of the dye presence on the conformational preferences of CREKA, a tumor homing linear pentapeptide.
Zanuy D, Curcó D, Nussinov R, Alemán C
Biopolymers , Epub ahead of print Dec 2 (2008)

Analysis of Smoking Cessation Patterns Using a Stochastic Mixed-Effects Model With a Latent Cured State
Sheng Luo, Ciprian M Crainiceanu, Thomas A Louis, Nilanjan Chatterjee
J. Am. Stat. Assoc. 103(483) :1002-1013 (2008)

Inference of non-centrality parameter of a truncated non-central chi-squared distribution
Qizhai Li and Kai Yu
J. Stat. Planning and Inference , doi: 10.1016/j.jspi.2008.11.007 (2008)

Optimizing computer-aided colonic polyp detection for CT colonography by evolving the Pareto front
Jiang Li, Adam Huang, Jack Yao, Jiamin Liu, Robert L. Van Uitert, Nicholas Petrick, Ronald M. Summers
Medical Physics 36 :201-212 (2009)