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| == Wednesday March 16, 2011 - P.M. == | == Wednesday - P.M. == |
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| This session will be about extracting sub-volumes from a tomogram, preparing them for alignment, aligning them, and averaging them. The necessary software is provided through EMAN2. All the data you need is inside a .zip file below which contains: a) Two tomograms of epsilon15 virus (e15) b) 3 e15 "references" (an asymmetric one, and one with icosahedral symmetry, both prepared for alignment; and a raw one, straight from the EMDB) c) 1 text file (a small "coordinates file") |
This session will cover the new tools for single particle tomography in EMAN2. Unfortunately, this technique is very memory-intensive and compute-intensive. The 3 gb of ram available on the workshop computers is barely sufficient to do some small examples, and full 3-D alignments of large sets of particles can take many hours of computation. |
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| Download the written tutorial provided through the PDF file below. | So, for purposes of the tutorial, we will learn how to use the particle picker, and do a couple of small examples which can be completed in the available time. |
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| [The links SHOULD work directly (it is safe to do right-click followed by "save as"); if not, once you click on the link it will take you to another page where you'll see a "DOWNLOAD" link; click on that to get the corresponding file]. | == DATA == [[attachment:e2spt_data_e15.zip| e2spt_data_e15.zip|&do=get]] [[attachment:e2spt_data_apoTRiC.zip| e2spt_data_apoTRiC.zip|&do=get]] |
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| Not available here for now. Get it through this site: | |
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| [[attachment:eman2_spt_tutorial.pdf| eman2_spt_tutorial.pdf|&do=get]] | http://blake.bcm.edu/emanwiki/Ws2011/Agenda |
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| == DATA == | == Monstrous command for alignment with e2spt_classaverage.py (used to be e2classaverage3d.py) == |
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| [[attachment:e15tomograms.zip| e15tomograms.zip|&do=get]] Get all the tomograms listed above in a zip file . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . = ANYTHING BELOW THIS MARK IS DEPRECATED = This session will cover the beta version of a small fraction of the possibilities for SPT processing EMAN2 will eventually offer. = RESULTS UH = [[attachment:e15normal_average.hdf| e15nromal_average.hdf|&do=get]] [[attachment:e15normal_average_lp50.hdf| e15nromal_average_lp50.hdf|&do=get]] == OUTLINE == * 1) SPT processing through EMAN2's workflow (e2workflow.py) * 2) Sub-volume extraction from tomograms using EMAN2's 3D particle picking tool (e2tomoboxer.py) * 3) "Preparation" of extracted particles for alignment. [Details later. /!\ For a myriad of reasons, it is NOT recommendable to align and average sub-volumes directly after extraction without "preparing" them first]. * 4) Reference-based alignment and averaging. <!> ''PLEASE NOTE that "particle" and "sub-volume" are used interchangeably'' |
e2spt_classaverage.py --input=e15pp_set1_stack.hdf --output=e15pp_set1_aligned.hdf --ref=e15ref_prep_icos_bin2.hdf --npeakstorefine=1 -v 3 --mask=mask.sharp:outer_radius=48 --preprocess=filter.lowpass.gauss:cutoff_freq=.02 --align=rotate_translate_3d:search=10:delta=8:dphi=8:verbose=1:sym=icos --parallel=thread:2 --ralign=refine_3d_grid:delta=3:range=9:search=2 --averager=mean.tomo --aligncmp=ccc.tomo --raligncmp=ccc.tomo --shrink=3 --shrinkrefine=3 --savesteps --saveali --iter=8 --normproc=normalize --sym=c1 --keep=0.8 --path=whatever_folder_I_want |
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| == Monstrous command for alignment with e2spt_hac.py (used to be e2tomoallvsall.py) == | |
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| == BOXING == There are two options for opening the tomogram for purposes of boxing it. |
e2spt_hac.py -v 1 --path=AVSAs087 --input=CENTEREDvsD8aliVSapo_s087.hdf --shrink=3 --shrinkrefine=2 --iter=87 --mask=mask.sharp:outer_radius=36 --npeakstorefine=16 --preprocess=filter.lowpass.gauss:cutoff_freq=.02:apix=4.401 --align=rotate_translate_3d:search=4:dphi=12:delta=12 --parallel=thread:24 --ralign=refine_3d_grid:delta=3:range=12:search=2 --averager=mean.tomo --aligncmp=ccc.tomo --raligncmp=ccc.tomo --saveali --savesteps -v 2 --postprocess=filter.lowpass.gauss:cutoff_freq=.02:apix=4.401 --autocenter --exclusive_class_min=8 --normproc=normalize |
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| 1) Directly, by typing e2tomoboxer.py followed my the path to the tomogram file at the commandline. | |
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| 2) Or you can launch e2workflow.py from the commandline and access a tomogram through the browser in the tomographic menu. | == Not so monstrous command for e2spt_simulation.py (used to be e2tomosim.py) == e2spt_simulation.py --input=../groRef_scaled_bin2.hdf --snr=5 --nptcls=2 --tiltstep=5 --tiltrange=60 --transrange=10 --saveprjs --noiseproc=math.addnoise |
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| [In theory, you can open a tomogram for contemplation purposes by typing: "e2display.py <my_tomogram_path_name_goes_here>" at the commandline. /!\ This is NOT recommendable, unless you have a grossly large (VERY, VERY large) amount of virtual memory on your computer; otherwise, catastrophe WILL befall upon you]. |
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| Let's explore the FIRST APPROACH. | == Semi monstrous command for e2spt_resolutionplot.py == e2spt_resolutionplot.py --vol1=half1avg.hdf --vol2=half2avg.hdf --output=whatever3.txt --npeakstorefine=1 --verbose=3 --shrink=3 --shrinkrefine=2 --mask=mask.sharp:outer_radius=36 --preprocess=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 --postprocess=filter.lowpass.gauss:cutoff_freq=.02:apix=4.401 --normproc=normalize --sym=icos |
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| === OPENING A TOMOGRAM DIRECTLY WITH e2tomoboxer.py === To launch the GUI that will show you the tomogram (you're free to choose whichever you prefer, "e15normal.rec" or "e15phaseplate.rec") type the following COMMAND #001 at the commandline: |
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| ||<style="color: #FF0000; font-weight: bold;">COMMAND #001|| {{{ e2tomoboxer.py e15normal.rec --yshort --inmemory }}} |
== 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 |
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| ''' ''EXPLANATION'' ''' | |
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| '''To specify --yshort, or not to''' This option will FLIP the orientation of your tomogram respect to the Y and Z coordinates. You should ONLY specify it IF the tomogram has its smallest/slimmest dimension running along the Y-axis, so that it becomes parallel to the Z-axis instead. '''Ok... but WHY? What does this mean?''' Some tomograms are built with the slimmest part of the 3D volume (that corresponding to the "ice thickness" in cryoEM) running along the Y-axis. BUT '''__in EMAN2 volumes are displayed such that the Z-axis is perpendicular to the screen__'''. If you open one of these tomograms "as is", you'll be looking at it "from the side". Most of the time you want the slimmest part of the volume to be aligned along Z (NOT Y), so you can see the tomogram "from the TOP", and look at the entire CCD-captured area in the XY plane slice by slice, as you go through the volume. '''--inmemory''' This option pre-loads your tomogram to memory, allowing to box particles (or do whatever you want to do in e2tomoboxer) more smoothly (faster), because reading data from memory is faster than reading it from disk. You can get the entire list of options that e2tomoboxer.py takes (not many at this point) and some sort of explanation of what they're for by typing the following at the commandline: {{{ e2tomoboxer.py -h }}} If you ran the command and took a leap of faith in skipping the explanation, you will probably have already clicked a few things in the GUI (Graphical User Interface with nice 'clickable' buttons) that popped up. ''~-(I hope you did; extensive explanations really ought to be read only when following the execution boxes doesn't work smoothly, when you're confused, when you have a lot of time to spare and nothing better to do, or when you're a purist [slightly OCD] about reading manuals in their entirety with the noble purpose of getting the most out of them).-~'' === USING THE WORKFLOW FOR SPT === The e2tomoboxer.py GUI should look like this: {{attachment:image.png|alt text|width=100 height=150}} This window is called __ You will notice... |
== 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 |
Single Particle Tomography in EMAN2
Wednesday - P.M.
This session will cover the new tools for single particle tomography in EMAN2. Unfortunately, this technique is very memory-intensive and compute-intensive. The 3 gb of ram available on the workshop computers is barely sufficient to do some small examples, and full 3-D alignments of large sets of particles can take many hours of computation.
So, for purposes of the tutorial, we will learn how to use the particle picker, and do a couple of small examples which can be completed in the available time.
DATA
TUTORIAL DOCUMENT
Not available here for now. Get it through this site:
http://blake.bcm.edu/emanwiki/Ws2011/Agenda
Monstrous command for alignment with e2spt_classaverage.py (used to be e2classaverage3d.py)
e2spt_classaverage.py --input=e15pp_set1_stack.hdf --output=e15pp_set1_aligned.hdf --ref=e15ref_prep_icos_bin2.hdf --npeakstorefine=1 -v 3 --mask=mask.sharp:outer_radius=48 --preprocess=filter.lowpass.gauss:cutoff_freq=.02 --align=rotate_translate_3d:search=10:delta=8:dphi=8:verbose=1:sym=icos --parallel=thread:2 --ralign=refine_3d_grid:delta=3:range=9:search=2 --averager=mean.tomo --aligncmp=ccc.tomo --raligncmp=ccc.tomo --shrink=3 --shrinkrefine=3 --savesteps --saveali --iter=8 --normproc=normalize --sym=c1 --keep=0.8 --path=whatever_folder_I_want
Monstrous command for alignment with e2spt_hac.py (used to be e2tomoallvsall.py)
e2spt_hac.py -v 1 --path=AVSAs087 --input=CENTEREDvsD8aliVSapo_s087.hdf --shrink=3 --shrinkrefine=2 --iter=87 --mask=mask.sharp:outer_radius=36 --npeakstorefine=16 --preprocess=filter.lowpass.gauss:cutoff_freq=.02:apix=4.401 --align=rotate_translate_3d:search=4:dphi=12:delta=12 --parallel=thread:24 --ralign=refine_3d_grid:delta=3:range=12:search=2 --averager=mean.tomo --aligncmp=ccc.tomo --raligncmp=ccc.tomo --saveali --savesteps -v 2 --postprocess=filter.lowpass.gauss:cutoff_freq=.02:apix=4.401 --autocenter --exclusive_class_min=8 --normproc=normalize
Not so monstrous command for e2spt_simulation.py (used to be e2tomosim.py)
e2spt_simulation.py --input=../groRef_scaled_bin2.hdf --snr=5 --nptcls=2 --tiltstep=5 --tiltrange=60 --transrange=10 --saveprjs --noiseproc=math.addnoise
Semi monstrous command for e2spt_resolutionplot.py
e2spt_resolutionplot.py --vol1=half1avg.hdf --vol2=half2avg.hdf --output=whatever3.txt --npeakstorefine=1 --verbose=3 --shrink=3 --shrinkrefine=2 --mask=mask.sharp:outer_radius=36 --preprocess=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 --postprocess=filter.lowpass.gauss:cutoff_freq=.02:apix=4.401 --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