• EMAN2
• ProgramFiles

EMAN2 Output Files

This page documents all of the various files produced by various tasks and workflows in EMAN2. While the format of the actual files will be one of the standard EMAN2 supported image formats in most cases, these pages will explain the contents of files with specific standard names.

Information on specific files used in 3-D single particle refinement

This section documents the contents of all of the files produced by running e2refine.py in one of the refine_xx directories.

• Map projection files (projections_xx, proj_stg1_xx)

• Similarity matrix image files (simmx_xx, simmx_stg1_xx, proj_simmx_xx)

• Classification matrix image files (classify_xx)

• Class-Averaging Results matrix image files (cls_result_xx)

• Class-averages (classes_xx)

• 3-D reconstructions (threed_xx, threed_filt_xx, threed_mask_xx)

Information on specific files used in 2-D reference-free class-averaging

You may also wish to look at: e2refine2d

• input_fp - rotational/translational invariants for each particle

• input_fp_basis - MSA basis vectors (images) from input_fp

• input_fp_basis_proj - MSA subspace projections of the input_fp invariants

• classmx_00 - Initial classification of particles, same format as classmx above

• classes_init - Initial set of class-averages from invariant method (not very good usually)

• allrefs_XX - All of the references (sorted) to be used for the current iteration

• basis_XX - MSA basis from allrefs_xx

• aliref_XX - Subset of allrefs used for alignment of raw particles

• simmx_XX - Similarity matrix in same format as simmx above

• input_XX_proj - Aligned particles projected into basis_XX subspace

• classmx_XX - Classification matrix for the current iteration (as above)

• classes_XX - Class averages at the end of the iteration. The highest numbered classes_XX file is the final output of the program