3D classification : Apply relion 3D classficaton using SPHIRE GUI.

Usage in command line

  sp_relion_3dclassifi.py post_refine_folder output_folder reference_map --reference_mask --abs_greyscale_map --ini_high --sym --do_ctf --ctf_corr_ref --ctf_ignore_peak --no_of_class --tau_val --no_of_iter --use_fast_sets --mask_diam --mask_zeros --limit_resol_estep --skip_img_align --heal_pix_order --off_range --off_step --ang_search --ang_search_range --ang_search_relax_sym --coarse_sampling --para_io --no_of_pool_part --skip_pad --skip_grid --pre_read_img --scratch_dir --combine_iter_disc --use_gpu --which_gpu --submission_template --submission_command --relion_mpirun_executable --relion_3dclassification_executable --mpi_procs --no_of_threads --mrc_reloc_folder --helical_recons --inner_diam --outer_diam --sig_tilt --sig_psi --sig_rot --sigma_dist --keep_tilt_fix --apply_helical_sym --unique_asym_unit --initial_twist --initial_rise --z_percent --do_local_search --twist_min --twist_max --twist_inistep --rise_min --rise_max --rise_inistep

sp_relion_3dclassifi exists in both MPI and non-MPI versions (Running MPI version does not require –MPI flag).

The purpose of sp_relion_3dclassifi.py is to :

: Apply 3D classification from relion using the SPHIRE GUI.

: The SPHIRE module provides a wrapper around the 3d classification command.

: After running the 3d classification routine, the wrapper automatically converts the star file so that it can be used directly for further processing. (still in test phase). 

post_refine_folder

Input folder is the directory where the results of the post refiner are present and python routine automatically locates all the required files used for relion 3d classification. (default required string)

output_folder

Output folder is the directory where all the results of the relion 3d classification are saved. (default required string)

reference_map

Reference map to be used. (default required string)

--reference_mask

Reference mask (optional) . In case reference mask is provided by user . (default none)

--ini_high

initial low pass filter in angstroms. (default 60)

--sym

symmetry use for classification. (default C1)

--do_ctf

Whether to apply CTF correction or not. (default True)

--ctf_corr_ref

Whether reference was CTF correction or not. (default False)

--ctf_ignore_peak

Whether or not the first peak should be ignored or not .(default False)

--no_of_class

Number of classes to have. (default 1)

--tau_val

Regularized parameter T adjusted. (default 4)

--no_of_iter

Number of iterations to be performed. (default 25)

--diam_mas

The diameter of the mask (A) which use. (default 200)

--zeros_mas

in case padding with zeros is required. (default True)

--limit_resol_estep: to limit the resolution E-step to (A) for fitting (default -1)

--heal_pix_order

Angular sampling interval in degrees. output value can be from 8 to 0 depends on selection of values from 0.1 to 30 degrees (default 7.5 ||| 0.1 ||| 0.2 ||| 0.5 ||| 0.9 ||| 1.8 ||| 3.7 ||| 15 ||| 30)

--off_range

Offset search range (pix). Probabilities will be calculated only for translations in a circle with this radius in pixels. (default 5)

--off_step

Offset search step (pix). Translations will be sampled with this step size in pixels. (default 1)

--coarse_sampling

Allow coarser sampling . flag only. (default False)

--no_of_pool_part

Number of pooled particles parameter controls how many particles are read together for each thread. (default 3)

--use_gpu

Whether to use gpu for computation or not. (default False)

--which_gpu

the index value of the GPU to use. (default None)

--submission_template

Submission template for MPI command. In case of running this tool on a cluster, always a submission template. The number of MPI processors and threads in the submission template should be the same as the one specified below in the MPI procs and threads value.(default none)

--submission_command

Submission commmand for cluster (default sbatch)

--relion_mpirun_executable

Since there can be more than one mpirun environment installed on a workstation or on a cluster. It can be sometimes necessary to provide the relion specific mpirun executable. Just type which mpirun -a in a terminal and choose the one which relion requires. (default mpirun)

--relion_ctfrefine_executable

Similar to the issue of relion mpirun executable, it can be sometime necessary to provide the specific relion polishing executable also. Just type which relion_ctf_refine_mpi and copy the path here. (default relion_ctf_refine_mpi)

--mpi_procs

The number of MPI processors used for Relion multiprocessing. For training part only one MPI processors is used. In case when running the program on cluster, the MPI processors value should be same as used in the submission template.(default 1)

--no_of_threads

The number of threads use during the polishing. In case when running the program on cluster, the thread value should be same as used in the submission template.(default 1)

--mrc_reloc_folder

In case if the mrcs images were moved from original location where they were generated to a new location. Then the user has to provide a path directory link to the new location . (default none)

particles_ctf_refine.star

Output star file for polishing particles.

bdb:ctfrefine_stack

: Ctf refined particles stack. (still in test phase)

BDB2STAR

Using sphire2relion tool , the bdb stack is converted to star file so that it can be used in relion. The star file is saved in BDB2STAR folder.

PostProcess

Since the input to the tool is Post refiner directory, the tool can automatically create the necessary file in PostProcess folder which is necessary to provide for ctf refinement.

To run it properly on cluster. Do the following task before running in case if you are running from MPI dortmund. These settings can be different if you are using it outside.

module unload sphire (unload the module sphire) 

module load sphire/clem/Polishing_SPHIRE_v1.2 or sphire/clr/Polishing_SPHIRE_v1.2 (this has to be done only in case if you have a different installation then the default one, since this tool is still not released, the git branch is different). 

module load relion

Then go to the directory where you have all the data folders. Like Meridien , Post Refiner, ISAC etc etc. It is recommended to start SPHIRE in the folder structure where all the output folders are present e.g Post refinenment output folder, motioncorr output folder , ISAC substack output folder.

Apply relion 3D classification using SPHIRE GUI.

Adnan Ali

Category 1:: APPLICATIONS

sphire/bin/sp_relion_3dclassifi.py

Beta:: Under evaluation and testing. Please let us know if there are any bugs.