NMRbox: A Resource for Biomolecular NMR Computation
- PMID: 28445744
- PMCID: PMC5406371
- DOI: 10.1016/j.bpj.2017.03.011
NMRbox: A Resource for Biomolecular NMR Computation
Abstract
Advances in computation have been enabling many recent advances in biomolecular applications of NMR. Due to the wide diversity of applications of NMR, the number and variety of software packages for processing and analyzing NMR data is quite large, with labs relying on dozens, if not hundreds of software packages. Discovery, acquisition, installation, and maintenance of all these packages is a burdensome task. Because the majority of software packages originate in academic labs, persistence of the software is compromised when developers graduate, funding ceases, or investigators turn to other projects. To simplify access to and use of biomolecular NMR software, foster persistence, and enhance reproducibility of computational workflows, we have developed NMRbox, a shared resource for NMR software and computation. NMRbox employs virtualization to provide a comprehensive software environment preconfigured with hundreds of software packages, available as a downloadable virtual machine or as a Platform-as-a-Service supported by a dedicated compute cloud. Ongoing development includes a metadata harvester to regularize, annotate, and preserve workflows and facilitate and enhance data depositions to BioMagResBank, and tools for Bayesian inference to enhance the robustness and extensibility of computational analyses. In addition to facilitating use and preservation of the rich and dynamic software environment for biomolecular NMR, NMRbox fosters the development and deployment of a new class of metasoftware packages. NMRbox is freely available to not-for-profit users.
Copyright © 2017 Biophysical Society. All rights reserved.
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References
-
- Ernst R.R. Without computers—no modern NMR. In: Hoch J.C., Poulsen F.M., Redfield C., editors. Computational Aspects of the Study of Biological Macromolecules by Nuclear Magnetic Resonance Spectroscopy. Plenum Press; New York: 1991. pp. 1–25.
-
- Hoch J.C. Modern spectrum analysis in nuclear magnetic resonance: alternatives to the Fourier transform. Methods Enzymol. 1989;176:216–241. - PubMed
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