Title |
NMRFx Processor: a cross-platform NMR data processing program
|
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Published in |
Journal of Biomolecular NMR, July 2016
|
DOI | 10.1007/s10858-016-0049-6 |
Pubmed ID | |
Authors |
Michael Norris, Bayard Fetler, Jan Marchant, Bruce A. Johnson |
Abstract |
NMRFx Processor is a new program for the processing of NMR data. Written in the Java programming language, NMRFx Processor is a cross-platform application and runs on Linux, Mac OS X and Windows operating systems. The application can be run in both a graphical user interface (GUI) mode and from the command line. Processing scripts are written in the Python programming language and executed so that the low-level Java commands are automatically run in parallel on computers with multiple cores or CPUs. Processing scripts can be generated automatically from the parameters of NMR experiments or interactively constructed in the GUI. A wide variety of processing operations are provided, including methods for processing of non-uniformly sampled datasets using iterative soft thresholding. The interactive GUI also enables the use of the program as an educational tool for teaching basic and advanced techniques in NMR data analysis. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Canada | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 50 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 34% |
Researcher | 8 | 16% |
Student > Bachelor | 3 | 6% |
Student > Doctoral Student | 2 | 4% |
Student > Postgraduate | 2 | 4% |
Other | 6 | 12% |
Unknown | 12 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 13 | 26% |
Biochemistry, Genetics and Molecular Biology | 11 | 22% |
Agricultural and Biological Sciences | 5 | 10% |
Computer Science | 2 | 4% |
Medicine and Dentistry | 2 | 4% |
Other | 4 | 8% |
Unknown | 13 | 26% |