
Rowland NMR Toolkit Version 3
The Rowland NMR Toolkit is a suite of programs for processing multi-dimensional NMR data. In addition to providing support for conventional, DFT-based spectrum analysis, a set of ancillary tools provide support for modern methods of spectrum analysis, including linear prediction and maximum entropy reconstruction. The Toolkit runs on Unix workstations, and the graphical tools use X-Windows and PostScript. The Toolkit is capable of processing NMR data from most sources.
The Rowland NMR Toolkit is made freely available to academic and not-for-profit institutions, although we do ask that you complete a software license agreement, so that we know who is using the software. Because we provide the source code, the software agreement also serves as a pledge that the software will not be used for commercial purposes or distributed to others. A PostScript version of the license agreement can be found here. Contact Jeff Hoch (hoch@rowland.org) for further information, including information about commercial licenses.
- A list of general features of the Toolkit
- General processing tools
- rnmrtk -- The main processing program in the Toolkit
- Graphical tools
- seepln -- A tool for graphical display of one-dimensional data
- contour -- A tool for graphical display of two-dimensional data
- Vince -- A tool for graphical display of biomolecular NOE data
- Modern spectrum analysis tools
- blip -- Backward linear prediction
- count -- Create a sequential sampling schedule
- flip -- Forward linear prediction
- inject -- Add synthetic peaks to a time-domain data set
- ist -- Iterative soft threshholding
- mlm -- Maximum likelihood reconstruction
- msa -- Maximum entropy reconstruction
- sampsched -- Create an exponential or random sampling schedule
- Analysis tools
- inject2d -- Add synthetic cross peaks to time domain data
- splineshift -- Accurately determine frequency differences in one dimension
- xpeakfit -- Fit a model function to cross-peaks in two-dimensional spectra
- Other tools
- adump -- Create an ASCII dump of one-dimensional data
- hpsort -- Sorts the vectors in an HPGL file to achieve more efficient plotting
- pspreview -- Convert a PostScript file to Encapsulated PostScript
- select -- Compress a non-linearly sampled data set
- undiag -- Remove strong diagonal components by subtracting a time-domain model
- Step-by-step instructions for first-time users
- Preliminaries -- How to invoke Rnmrtk
- How to load NMR data
- Processing examples
- Plotting examples
For more information, comments, or complaints, contact the authors:
Alan Stern (stern@rowland.org), Jeff Hoch (hoch@rowland.org)
Last modified November 27, 1996