Difference between revisions of "Materials Basel 2018"

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This page is provided as a generic orientation of the contents of the practical hands-on sessions. Computer access is described [[Computers Basel 2017 | '''here''']]
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This page is provided as a generic orientation of the contents of the practical hands-on sessions. Computer access is described [[Computers Basel 2018 | '''here''']].
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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.
  
 
==Program==
 
==Program==
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The course will start at 10 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 10 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.
  
=== Geometric modelling ===
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=== Introduction ===
  
 
Guided presentation:  
 
Guided presentation:  
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* We will follow this [[Walkthrough for template matching | walkthrough]] for automated identification of proteosomes on a real tomogram through template matching. (~1 hour) <br /> To get the data, please write in the '''linux terminal''' <br/><tt>'''wget  https://wiki.dynamo.biozentrum.unibas.ch/w/doc/data/t20s/t20s.mrc'''</tt>
 
* We will follow this [[Walkthrough for template matching | walkthrough]] for automated identification of proteosomes on a real tomogram through template matching. (~1 hour) <br /> To get the data, please write in the '''linux terminal''' <br/><tt>'''wget  https://wiki.dynamo.biozentrum.unibas.ch/w/doc/data/t20s/t20s.mrc'''</tt>
 
  
 
===Geometric modeling===
 
===Geometric modeling===
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Working on your own:
 
Working on your own:
  
* For the morning session: complete the  [[advanced starters guide]] (~2 hours) <br / > the data can be found in  <br /><tt> ~/data/data/crop.rec</tt> <br /> a central file is available in <br /> <tt>~/clab-share/data/crop.rec</tt>
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* For the Wednesday morning session: complete the  [[advanced starters guide]] (~2 hours) <br / > the data can be found in  <br /><tt> ~/data/crop.rec</tt> <br /> a central file which you can copy is available in <br /> <tt>/clab-share/data/crop.rec</tt>
 
* In the afternoon, after the research talks, we will focus on the extraction of particles  [[Walkthrough for lattices on vesicles| from densely packed spherical geometry ]]  (~1 hour) <br /> To get the data, please write in the '''linux terminal''' <br/><tt>'''wget  https://wiki.dynamo.biozentrum.unibas.ch/w/doc/data/hiv/v17.rec'''</tt>
 
* In the afternoon, after the research talks, we will focus on the extraction of particles  [[Walkthrough for lattices on vesicles| from densely packed spherical geometry ]]  (~1 hour) <br /> To get the data, please write in the '''linux terminal''' <br/><tt>'''wget  https://wiki.dynamo.biozentrum.unibas.ch/w/doc/data/hiv/v17.rec'''</tt>
  
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* [[Walkthrough on manual marker clicking  ]]
 
* [[Walkthrough on manual marker clicking  ]]
* [[Walkthrough on automated marker clicking]]
 
  
 
=== Creation of 3D scenes ===
 
=== Creation of 3D scenes ===
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** Commandline operations with PCA
 
** Commandline operations with PCA
  
===Additional tools===
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===Additional tools and exercises===
* Subboxing
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* Getting a Structure from Multiple Tomograms:
*: motivation slide: [http://{{SERVERNAME}}/w/doc/misc/motivationSubboxing.pptx  extraction of vertices from icosahedral viruses]
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*: - In this [[Getting_a_Structure_from_Multiple_Tomograms_of_HIV_Capsids|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.
*: Basic subboxing ({{pdftutorial|subboxing_symmetry|tutorial}}l)
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* [[GPUs_Basel_2018|Usage of GPUs]]
*: advanced subboxing tutorial: combining with MRA  {{pdftutorial|subboxing_multireference_PCA|tutorial}}
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* Subboxing:
*: suggested data set: prd1 Capsides (in the folder of isolated particles)
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*: - motivation slide: [http://{{SERVERNAME}}/w/doc/misc/motivationSubboxing.pptx  extraction of vertices from icosahedral viruses]
* Manual alignment.
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*: - Basic subboxing ({{pdftutorial|subboxing_symmetry|tutorial}}l)
* [[Workshop exercises| Exercises]]
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*: - advanced subboxing tutorial: combining with MRA  {{pdftutorial|subboxing_multireference_PCA|tutorial}}
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*: - suggested data set: prd1 Capsides (in the folder of isolated particles)
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* Manual alignment
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* [[Workshop exercises| Collection of Small Exercises]]

Latest revision as of 21:43, 29 August 2018

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.

Program

The course will start at 10 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:
    • tutorial on the use command line operations for general purposes.
    • tutorial on the use of the command line to manage projects.

Template matching

Tuesday afternoon.

Working on your own:

Geometric modeling

Working on your own:

Short guided presentation:

Alignment and reconstruction

These new features in Dynamo are at the testing stage.

Creation of 3D scenes

Thursday afternoon.

Working on your own:

Further support material.

  • Walkthrough on depiction and manipulation of triangulations (synthetic data).

Classification

Thursday afternoon.

Short guided presentation:

Additional tools and exercises