Analyse results: Difference between revisions
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= Output files = | |||
For every iteration, RELION will output the following files: | For every iteration, RELION will output the following files: | ||
# <code>rootname_it000???_class000???.mrc</code>++ | # <code>rootname_it000???_class000???.mrc</code>++ | ||
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# Information about the refined model parameters apart from the images (e.g. the noise spectra, the spherical average of the signal-to-noise ratios in the reconstructed structures, the angular distributions, etc. | # Information about the refined model parameters apart from the images (e.g. the noise spectra, the spherical average of the signal-to-noise ratios in the reconstructed structures, the angular distributions, etc. | ||
# For each of the individual experimental images: information about their CTF, optimal orientation, translation and class assignment, normalisation correction, height of the (normalised) probability distribution, etc . | # For each of the individual experimental images: information about their CTF, optimal orientation, translation and class assignment, normalisation correction, height of the (normalised) probability distribution, etc . | ||
= What to look out for = |
Revision as of 17:25, 4 October 2011
Output files
For every iteration, RELION will output the following files:
rootname_it000???_class000???.mrc
++rootname_it000???_optimiser.star
rootname_it000???_mlmodel.star
rootname_it000???_data.star
++ or rootname_it000???_class000???.mrcs
for 2D refinements.
These files contain the following information, respectively:
- The images of the refined 2D/3D structures.
- General information about the optimisation process.
- Information about the refined model parameters apart from the images (e.g. the noise spectra, the spherical average of the signal-to-noise ratios in the reconstructed structures, the angular distributions, etc.
- For each of the individual experimental images: information about their CTF, optimal orientation, translation and class assignment, normalisation correction, height of the (normalised) probability distribution, etc .