High-Performance Computing at the NIH
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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 12,000+ 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:

thumbnail image from paper A 5′-Flanking Region of Gonadotropin-Regulated Testicular RNA Helicase (GRTH/DDX25) Gene Directs Its Cell-Specific Androgen-Regulated Gene Expression in Testicular Germ Cells
Raghuveer Kavarthapu, Chon-Hwa Tsai-Morris, Masato Fukushima, James Pickel and Maria L. Dufau
Endocrinology , doi: 10.1210/en.2012-2230 (2013)

thumbnail image from paper Improving Peptide Identification Sensitivity in Shotgun Proteomics by Stratification of Search Space
Gelio Alves and Yi-Kuo Yu
J. Proteome Research , DOI: 10.1021/pr301139y (2013)

thumbnail image from paper A simplified representation of anisotropic charge distributions within proteins
Travis Hoppe
J. Chem. Phys. , doi://10.1063/1.4803099 (2013)

Three-Dimensional Structure of CAP-Gly Domain of Mammalian Dynactin Determined by Magic Angle Spinning NMR Spectroscopy: Conformational Plasticity and Interactions with End Binding Protein EB1
S. Yan, G. Hou, CD Schwieters, S Ahmed, JC Williams T Polenova
J. Mol. Biol. , doi://10.1016/j.jmb.2013.04.027 (2013)