Difference between revisions of "EMBO workshop 2020"
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* [http://{{SERVERNAME}}/w/doc/misc/introductionAlignmentProjects.pdf tutorial on] the basic concept in ''Dynamo'' alignment: the ''project''. | * [http://{{SERVERNAME}}/w/doc/misc/introductionAlignmentProjects.pdf tutorial on] the basic concept in ''Dynamo'' alignment: the ''project''. | ||
− | Working on your own: | + | Working on your own: |
* Basic [[Starters guide | walkthrough]]: creating a catalogue, picking particles, launching a project. | * Basic [[Starters guide | walkthrough]]: creating a catalogue, picking particles, launching a project. | ||
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− | + | * For the Day 2 session: complete the [[advanced starters guide]] (~2 hours) | |
+ | The data can be found in | ||
+ | <tt>/g/cryocourse/data/dynamo/crop.rec</tt> | ||
+ | the chimera path you need in the tutorial is | ||
+ | <tt>/g/easybuild/x86_64/CentOS/7/haswell/software/Chimera/1.13-foss-2017b-Python-2.7.14/bin/chimera</tt> | ||
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− | + | == Day 2 == | |
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− | + | ===Geometric modeling=== | |
Short guided presentation: | Short guided presentation: | ||
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* Reusing model workflows ([[Walkthrough model worfklow reuse | walkthrough]]) | * Reusing model workflows ([[Walkthrough model worfklow reuse | walkthrough]]) | ||
* Further work: catalogue | * Further work: catalogue | ||
+ | |||
+ | * In the afternoon, we will focus on the extraction of particles [[Walkthrough for lattices on vesicles| from densely packed spherical geometry ]] (~1 hour) <br /> | ||
+ | The data is available at | ||
+ | <tt>/g/cryocourse/data/dynamo/v17.rec</tt> | ||
+ | |||
==Day 3 == | ==Day 3 == | ||
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* [[Walkthrough on placement of averages on table positions | Walkthrough ]]on depiction and manipulation of triangulations (synthetic data). | * [[Walkthrough on placement of averages on table positions | Walkthrough ]]on depiction and manipulation of triangulations (synthetic data). | ||
+ | ===Template matching=== | ||
+ | |||
+ | * [[Walkthrough for template matching | walkthrough]] for automated identification of proteosomes on a real tomogram through template matching. (~1 hour) <br /> | ||
+ | The data can be found in | ||
+ | <tt>/g/cryocourse/data/dynamo/t20s.mrc</tt> | ||
Revision as of 16:21, 7 August 2020
Contents
Materials
Day 1
Basic principles
Guided presentation:
- Basic Dynamo jargon
- tutorial on basic elements: help, data and metadata formats.
- tutorial on the basic concept in Dynamo alignment: the project.
Working on your own:
- Basic walkthrough: creating a catalogue, picking particles, launching a project.
- Further work:
- For the Day 2 session: complete the advanced starters guide (~2 hours)
The data can be found in
/g/cryocourse/data/dynamo/crop.rec
the chimera path you need in the tutorial is
/g/easybuild/x86_64/CentOS/7/haswell/software/Chimera/1.13-foss-2017b-Python-2.7.14/bin/chimera
Day 2
Geometric modeling
Short guided presentation:
- tutorial on membrane modeling with dmslice
- Filament models with dtmslice
- Reusing model workflows ( walkthrough)
- Further work: catalogue
- In the afternoon, we will focus on the extraction of particles from densely packed spherical geometry (~1 hour)
The data is available at
/g/cryocourse/data/dynamo/v17.rec
Day 3
Fiducial based alignment and reconstruction
These new features in Dynamo are at the testing stage.
GUI based alignment of tilt series
Walkthrough on GUI based tilt series alignment
Command line based alignment of tilt series
Walkthrough on command line based tilt series alignment
Manual clicking on gold beads
Walkthrough on manual marker clicking
Creation of 3D scenes
Working on your own:
- Walkthrough on the FHV data set (~1hour)
Further support material.
- Walkthrough on depiction and manipulation of triangulations (synthetic data).
Template matching
- walkthrough for automated identification of proteosomes on a real tomogram through template matching. (~1 hour)
The data can be found in
/g/cryocourse/data/dynamo/t20s.mrc
Submitting jobs For GPU computing
The following is applicable for subtomogram averaging projects setup to be run in the "gpu_standalone" mode under computing environment.
Once your project is unfolded, you should have an executable file
wizardTestProject.exe
The EMBL-HD cluster uses slurm for job submission and resource allocation.
To run this project as a job on their computing resources, we should first set up a submission script, here is an example
#!/bin/bash #SBATCH -N 1 # number of nodes #SBATCH -n 1 # number of cores #SBATCH -o slurm.%N.%j.out # STDOUT #SBATCH -e slurm.%N.%j.err # STDERR #SBATCH --mail-type=END,FAIL # notifications for job done & fail #SBATCH --mail-user=alisterburt@gmail.com # send-to address #SBATCH -p gpu # select gpu usage #SBATCH --gres=gpu:1 # number of gpus (if using gpus) module load dynamo ./wizardTestProject.exe
Save this text file in the same directory as the executable file, then submit the job using sbatch
sbatch dynamo_test_gpu.sl
This should then confirm that the job has been submitted
Submitted batch job 65146729
Submitting jobs for CPU computing
The following is applicable for subtomogram averaging projects setup to be run in the "standalone" mode under computing environment.
Once your project is unfolded, you should have an executable file
wizardTestProject.exe
The EMBL-HD cluster uses slurm for job submission and resource allocation.
To run this project as a job on their computing resources, we should first set up a submission script, here is an example using 6 cores on 1 node
#!/bin/bash #SBATCH -N 1 # number of nodes #SBATCH -n 6 # number of cores #SBATCH -o slurm.%N.%j.out # STDOUT #SBATCH -e slurm.%N.%j.err # STDERR #SBATCH --mail-type=END,FAIL # notifications for job done & fail #SBATCH --mail-user=alisterburt@gmail.com # send-to address module load dynamo ./wizardTestProject.exe
Save this text file in the same directory as the executable file, then submit the job using sbatch
sbatch dynamo_test_cpu.sl
This should then confirm that the job has been submitted
Submitted batch job 65146755