I'm trying - unsuccessfully - to import a NOESY-13C-HMQC dataset into an
existing project. The data was processed and looks fine in NMRPipe. I am
using a fully updated version of Analysis v1. I haven't taken the plunge to
v2 yet.
This experiment just does not want to import. I've tried it both as NMRPipe
data and converted into Azara format. I select the file in the "open
spectrum" dialog, all goes well until what is normally the end where I set
the experiment type to H_H[C].NOESY (I've also tried H[C]_H.NOESY). At this
point I close the dialog which usually "freezes" for a short time while it
loads and displays the data. In this case, however, the dialog immediately
goes away, no spectrum appears, and I get the following traceback:
>>> Exception in Tkinter callback
Traceback (most recent call last):
File "/sw/lib/python2.4/lib-tk/Tkinter.py", line 1345, in __call__
return self.func(*args)
File
"/usr/local/ccpnmr/ccpnmr1.0/python/ccpnmr/analysis/OpenSpectrumPopup.py",
line 227, in openSpectra
self.parent.finishInitSpectrum(spectrum)
File "/usr/local/ccpnmr/ccpnmr1.0/python/ccpnmr/analysis/Analysis.py",
line 1351, in finishInitSpectrum
self.initBlockFile(spectrum)
File "/usr/local/ccpnmr/ccpnmr1.0/python/ccpnmr/analysis/Analysis.py",
line 1188, in initBlockFile
Util.defaultContourLevels(spectrum)
File "/usr/local/ccpnmr/ccpnmr1.0/python/ccpnmr/analysis/Util.py", line
1273, in defaultContourLevels
v = 3 * getNoiseEstimate(spectrum) /
spectrum.root.currentAnalysisProject.globalContourScale
File
"/usr/local/ccpnmr/ccpnmr1.0/python/ccpnmr/analysis/ExperimentBasic.py",
line 517, in getNoiseEstimate
d = block_file.getValue(pt)
BlockFile.error: could not get point: 201 390 493
Any ideas? The point numbers in the final line change with different
attempts but the rest of the error is consistent. Final note is that this
will be experiment #24 in the project.
Thanks,
Andrew
--
Dr. Andrew Fowler | University of Iowa
Associate Director | B291 Carver Biomedical Research Building
Medical NMR Facility | Iowa City, IA 52242
319-384-2937 (office) | 319-335-7273 (fax)
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