Difference between revisions of "Prato Workshop 2019"
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− | This page describes the contents of the practical hands-on sessions in | + | This page describes the contents of the practical hands-on sessions in Prato (28th-29th April 2019). |
== Computers == | == Computers == | ||
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The login and password are written in the front board. | The login and password are written in the front board. | ||
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+ | Create a Linux term by pressing CTRL+ALT+T. | ||
+ | |||
=== Starting a ''Dynamo'' session === | === Starting a ''Dynamo'' session === | ||
− | ''Dynamo'' is already preinstalled in the file system of | + | ''Dynamo'' is already preinstalled in the file system of Prato. You can activate it through |
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− | + | <tt> source ~/ws/opt/dynamo/dynamo_activate_linux_shipped_MCR.sh </tt> | |
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− | <tt> | ||
After ''Dynamo'' and Chimera have been loaded, you can start a session with: | After ''Dynamo'' and Chimera have been loaded, you can start a session with: | ||
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=== Bringing the data to the local machine === | === Bringing the data to the local machine === | ||
− | + | The tutorials will ask you to download some datasets. | |
+ | The data should be available in the folder <tt>~/ws/data/dynamo/</tt>. Check that you find three files with: | ||
− | + | <tt> ls ~/ws/data/dynamo/*</tt> | |
− | + | You should see the files <tt>crop.rec</tt>,<tt>t20s.mrc</tt> and <tt>v17.rec</tt>. Let us know if it is not the case. | |
− | + | === Create a folder to work === | |
+ | |||
+ | <tt>mkdir ~/tmp </tt> | ||
+ | <tt>mkdir ~/tmp/dynamo/</tt> | ||
+ | <tt>cd ~/tmp/dynamo/</tt> | ||
== Program == | == Program == | ||
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== Exercises == | == Exercises == | ||
Exercises are scheduled for the last day. Nevertheless, feel free to start them any time during the workshop. | Exercises are scheduled for the last day. Nevertheless, feel free to start them any time during the workshop. | ||
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== Instructors == | == Instructors == | ||
* Daniel Castaño-Díez, University of Basel. | * Daniel Castaño-Díez, University of Basel. | ||
− | * | + | * Mikhail Kudryashev, Max Planck Institute for Biophysics, Frankfurt. |
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Latest revision as of 08:50, 4 April 2019
This page describes the contents of the practical hands-on sessions in Prato (28th-29th April 2019).
Computers
Entering the terminal
The login and password are written in the front board.
Create a Linux term by pressing CTRL+ALT+T.
Starting a Dynamo session
Dynamo is already preinstalled in the file system of Prato. You can activate it through
source ~/ws/opt/dynamo/dynamo_activate_linux_shipped_MCR.sh
After Dynamo and Chimera have been loaded, you can start a session with:
dynamo
Bringing the data to the local machine
The tutorials will ask you to download some datasets. The data should be available in the folder ~/ws/data/dynamo/. Check that you find three files with:
ls ~/ws/data/dynamo/*
You should see the files crop.rec,t20s.mrc and v17.rec. Let us know if it is not the case.
Create a folder to work
mkdir ~/tmp mkdir ~/tmp/dynamo/ cd ~/tmp/dynamo/
Program
Before the hands-on session, we will go to this presentation for a general introduction of the Dynamosoftware.
General Introduction
Guided presentation:
- 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.
- Advanced starters guide on a real tomogram. (~2 hours)
- Further work:
Geometric modeling
Short guided presentation:
- tutorial on membrane modeling with dmslice
- Filament models with dtmslice
- Reusing model workflows ( walkthrough)
- Further work: catalogue
Working on your own:
- In the afternoon, after the research talks, we will focus on the extraction of particles from densely packed spherical geometry on HIV viral capsides (~1 hour)
Template matching
Working on your own:
- We will follow this walkthrough for automated identification of proteosomes on a real tomogram through template matching. (~1 hour)
Adaptive bandpass filtering
Working on your own:
- We will follow this walkthrough to create a small synthetic data set that illustrates the principles of adaptive bandpass filtering, a way of conducting a golden standard alignment procedure . (~40 mins)
Classification
Short guided presentation:
- PCA Basic concepts.
advanced subboxing tutorial: combining with PCA and MRA tutorial - Multirefererence Analysis
Basic concepts.
walkthrough (~10 min) - Further work
- Commandline operations with PCA
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).
Additional tools
Wednesday afternoon session.
- Subboxing
- motivation slide: extraction of vertices from icosahedral viruses
- Basic subboxing (tutoriall)
- advanced subboxing tutorial: combining with MRA tutorial
- suggested data set: prd1 Capsides (in the folder of isolated particles)
- Manual alignment.
- Exercises
Data sets
The data sets will be updated here.
Exercises
Exercises are scheduled for the last day. Nevertheless, feel free to start them any time during the workshop.
Instructors
- Daniel Castaño-Díez, University of Basel.
- Mikhail Kudryashev, Max Planck Institute for Biophysics, Frankfurt.