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* Single particle tomography USER'S GUIDE (updated on June 2012; under major refactoring do to extensive changes in e2spt capabilities; look for an much larger version of the tutorial soon) * Single particle tomography USER'S GUIDE (updated on June 2012; under major refactoring do to extensive changes in e2spt capabilities; look for a new and longer version of the tutorial... eventually).
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= COMMANDS (for easy "copy-pasting" into the command line) = = COMMANDS (for easy "copy-pasting" into the command line; to see the entire list of parameters for each program, type the program name followed by -h at the command line) =

Last update: October 1, 2013.

Before attempting to average subtomograms with EMAN2, make sure to have the latest EMAN2 release. Download the easy-to-install binaries for the "Daily Release" from EMAN2's download page:

http://ncmi.bcm.tmc.edu/ncmi/software/software_details?selected_software=counter_222

(The daily release is close to the middle of the page).

Single Particle Tomography in EMAN2

Unfortunately, SPT is very computationally intensive (both in terms of memory and processing speed). 4GB of RAM is the bare minimum recommended to get through the tutorial. For more realistic SPT on full 3D alignments of large sets (hundreds of particles) comprising large particles particles (like viruses), 8GB of memory and the use of multiple processing units or GPU technology are advised.

E2SPT USERS' GUIDE

* Single particle tomography USER'S GUIDE (updated on June 2012; under major refactoring do to extensive changes in e2spt capabilities; look for a new and longer version of the tutorial... eventually).

e2spt_users_guide_06_2012.pdf

DATA

Epsilon 15 virus data, used since the EMAN2 Workshop in 2010.

e2spt_data.zip

TRiC chapeornin data (NOT READY).

e2spt_data_apoTRiC.zip

COMMANDS (for easy "copy-pasting" into the command line; to see the entire list of parameters for each program, type the program name followed by -h at the command line)

CORE PROGRAMS

'''SPT BOXER'''

e2spt_boxer.py <tomogram.rec> --yshort --inmemory --lowpass=100

.

'''SPT Iterative refinement'''

Monstrous command for alignment with e2spt_classaverage.py (used to be e2classaverage3d.py)

e2spt_classaverage.py --input= --output= --ref= --npeakstorefine=14 -v 0 --mask=mask.sharp:outer_radius= --lowpass=filter.lowpass.gauss:cutoff_freq=.02:apix=4.401 --parallel=thread:2 --highpass=filter.highpass.gauss:cutoff_freq=0.002:apix=4.401 --averager=mean.tomo --aligncmp=ccc.tomo --raligncmp=ccc.tomo --shrink=3 --shrinkrefine=2 --savesteps --saveali --iter=24 --normproc=normalize --keep=0.8 --path= --align=rotate_translate_3d:search=10:delta=8:dphi=8:verbose=0:sym=icos --ralign=refine_3d_grid:delta=3:range=9:search=2

.

SPT ''' "all vs all" '''

Monstrous command for alignment with e2spt_hac.py (used to be e2tomoallvsall.py)

e2spt_hac.py -v 0 --path=AVSA --input= --shrink=3 --shrinkrefine=2 --iter= --mask=mask.sharp:outer_radius= --npeakstorefine= --lowpass=filter.lowpass.gauss:cutoff_freq=.02:apix=4.401 --highpass=filter.highpass.gauss:cutoff_freq=0.002:apix=4.401 --parallel=thread:24 --averager=mean.tomo --aligncmp=ccc.tomo --raligncmp=ccc.tomo --saveali --savesteps --postprocess=filter.lowpass.gauss:cutoff_freq=.02:apix=4.401 --autocenter --noplot --exclusive_class_min=8 --normproc=normalize --align=rotate_translate_3d:search=4:dphi=12:delta=12 --ralign=refine_3d_grid:delta=3:range=12:search=2

.

OTHER programs (use at your own risk)

Semi monstrous command for e2spt_resolutionplot.py

e2spt_resolutionplot.py --vol1=half1avg.hdf --vol2=half2avg.hdf --output=whatever3.txt --npeakstorefine=1 --verbose=0 --shrink=3 --shrinkrefine=2 --mask=mask.sharp:outer_radius=36 --lowpass=filter.lowpass.gauss:cutoff_freq=.02:apix=4.401 --align=rotate_translate_3d:search=4:dphi=30:delta=30:sym=icos --parallel=thread:8 --ralign=refine_3d_grid:delta=15:range=30:search=2 --aligncmp=ccc.tomo --raligncmp=ccc.tomo --normproc=normalize --sym=icos

Decent command for e2spt_rotationalplot.py

e2spt_rotationalplot.py --input=initModel.hdf --output=toAs129avsaAVG.txt --daz=1 --shrink=1 --dalt=180 --mask=mask.sharp:outer_radius=28

Command for e2spt_radialdensityplot.py

e2spt_radialdensityplot.py --vols=volA_aligned.hdf,volB_aligned.hdf --normproc=normalize.edgemean --lowpass=filter.lowpass.gauss:cutoff_freq=0.02:apix=4.401 --singleplot --output=volAali_VS_volBali.png

Not-so-monstrous command for e2spt_simulation.py (used to be e2tomosim.py)

e2spt_simulation.py --input=groel.pdb --snr=5 --nptcls=8 --tiltstep=5 --tiltrange=60 --transrange=10 --saveprjs --addnoise --simref --path=TESTsimREF --pad=3 --shrink=2 --finalboxsize=96 --negativecontrast

Command for e2spt_tomosimjobs.py

e2spt_tomosimjobs.py --input=groel.pdb --nptcls=8 --saveprjs --addnoise --simref --path=TESTsimREF --pad=3 --shrink=2 --finalboxsize=96 --snrlowerlimit=0 --snrupperlimit=1 --snrchange=1 --tiltsteplowerlimit=0 --tiltstepupperlimit=1 --tiltstepchange=1 --tiltrangelowerlimit=60 --tiltrangeupperlimit=61 --tiltrangechange=1 --negativecontrast --testalignment

Command for e2spt_autoboxer.py

e2spt_autoboxer.py --tomogram=tomo_inv.rec --ptclradius=8 --path=whatever --concentrationfactor=1 --output=subtomostack.hdf --outputboxsize=36 --verbose=10 --goldstack=gold_ptcls_s05_inv.hdf --pruneprj --goldthreshtomo --keepn=150 --lowpass=filter.lowpass.gauss:cutoff_freq=0.02

e2symsearch3d.py

e2spt_refinemulti.py

e2spt_fftamps.py

e2spt_wedge.py

SPT/Spt (last edited 2016-06-24 21:47:10 by jgalaz)