Analyse results: Difference between revisions

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# The images of the refined 2D/3D structures.
# The images of the refined 2D/3D structures.
# General information about the optimisation process.
# 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.
# 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 distribution of the images over the classes, 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 for =
= What to look for =

Revision as of 17:26, 4 October 2011

Output files

For every iteration, RELION will output the following files:

  1. rootname_it000???_class000???.mrc (or rootname_it000???_class000???.mrcs for 2D refinements)
  2. rootname_it000???_optimiser.star
  3. rootname_it000???_mlmodel.star
  4. rootname_it000???_data.star

These files contain the following information, respectively:

  1. The images of the refined 2D/3D structures.
  2. General information about the optimisation process.
  3. 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 distribution of the images over the classes, the angular distributions, etc.
  4. 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 for