Difference between revisions of "Materials Basel 2019"
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Before downloading any workshop data, please check the directory <tt>~/data</tt> since most of the needed material is already available there. | Before downloading any workshop data, please check the directory <tt>~/data</tt> since most of the needed material is already available there. | ||
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=== Dynamo version === | === Dynamo version === | ||
The current dynamo version is [https://drive.google.com/open?id=1L8rGCDojNDOQKd_5YKmgyCCC3-D48rMX in this file] | The current dynamo version is [https://drive.google.com/open?id=1L8rGCDojNDOQKd_5YKmgyCCC3-D48rMX in this file] | ||
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==Matlab crash course == | ==Matlab crash course == | ||
From 9 to 11 a crash course in Matlab will be imparted by Mathworks instructors. The documentation can be opened with: | From 9 to 11 a crash course in Matlab will be imparted by Mathworks instructors. The documentation can be opened with: | ||
− | <tt>libreoffice --writer /clab-share/matlabCourse/CrashCourseMATLAB.docx &</tt> | + | <tt>libreoffice --writer /clab-share/matlabCourse/CrashCourseMATLAB.docx &</tt> |
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==Program== | ==Program== | ||
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The course will start at 11'30 o'clock, Wednesday morning. Last lecture will finish around 12:30 on Friday. On Friday, after lunch, the computer room will be open till 18:00 and our instructors will stay to assist the participants that chose to stay to work with their own data. | The course will start at 11'30 o'clock, Wednesday morning. Last lecture will finish around 12:30 on Friday. On Friday, after lunch, the computer room will be open till 18:00 and our instructors will stay to assist the participants that chose to stay to work with their own data. |
Revision as of 15:01, 27 August 2019
This page is provided as a generic orientation of the contents of the practical hands-on sessions. Computer access is described here.
Before downloading any workshop data, please check the directory ~/data since most of the needed material is already available there.
Contents
Dynamo version
The current dynamo version is in this file
Matlab crash course
From 9 to 11 a crash course in Matlab will be imparted by Mathworks instructors. The documentation can be opened with:
libreoffice --writer /clab-share/matlabCourse/CrashCourseMATLAB.docx &
Program
The course will start at 11'30 o'clock, Wednesday morning. Last lecture will finish around 12:30 on Friday. On Friday, after lunch, the computer room will be open till 18:00 and our instructors will stay to assist the participants that chose to stay to work with their own data.
Introduction
Guided presentation:
- tutorial on basic elements: help, data and metadata formats.
- tutorial on the basic concept in Dynamo alignment: the project.
after the coffee break:
Working on your own:
- Basic walkthrough: creating a catalogue, picking particles, launching a project.
- Further work:
Template matching
Tuesday afternoon.
Working on your own:
- We will follow this walkthrough for automated identification of proteosomes on a real tomogram through template matching. (~1 hour)
To get the data, please write in the linux terminal
wget https://wiki.dynamo.biozentrum.unibas.ch/w/doc/data/t20s/t20s.mrc
Geometric modeling
Working on your own:
- For the Wednesday morning session: complete the advanced starters guide (~2 hours)
the data can be found in
~/data/crop.rec
a central file which you can copy is available in
/clab-share/data/crop.rec - In the afternoon, after the research talks, we will focus on the extraction of particles from densely packed spherical geometry (~1 hour)
To get the data, please write in the linux terminal
wget https://wiki.dynamo.biozentrum.unibas.ch/w/doc/data/hiv/v17.rec
Short guided presentation:
- tutorial on membrane modeling with dmslice
- Filament models with dtmslice
- Reusing model workflows ( walkthrough)
- Further work: catalogue
Alignment and reconstruction
These new features in Dynamo are at the testing stage.
Creation of 3D scenes
Thursday afternoon.
Working on your own:
- Walkthrough on the FHV data set (~1hour)
Further support material.
- Walkthrough on depiction and manipulation of triangulations (synthetic data).
Classification
Friday afternoon.
Short guided presentation:
- PCA Basic concepts.
- Multirefererence Analysis
Basic concepts.
walkthrough (~10 min) - Further work
- Commandline operations with PCA
Additional tools and exercises
- Getting a Structure from Multiple Tomograms:
- - In this exercise on VLPs you will be given 6 tomograms of HIV Capsids and the goal is to reach a structure in which alpha helices start to be visible.
- Usage of GPUs
- 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
- Collection of Small Exercises