Difference between revisions of "2014 Summer Project Week:Pipeline Visualization"

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Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]
 
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]
 
Image:Pipeline_visualization_sketch.png‎| Visualization of pipeline from code
 
Image:Pipeline_visualization_sketch.png‎| Visualization of pipeline from code
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Image:atlas_pipeline.png|BRAINSTools Template pipeline
 
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==Project Description==
 
==Project Description==
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We have developed an extension to nipype (http://nipy.sourceforge.net/nipype/) that allows for visualization of pipelines and their results.
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At the project week, we plan to improve the visualization and features and release our code.
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Live demo (temporary link): http://shoutkey.com/grant
  
 
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<h3>Objective</h3>
 
<h3>Objective</h3>
We have developed an extension to nipype (http://nipy.sourceforge.net/nipype/) that allows for visualization of pipelines and their results.
+
We plan to show our demo and get feedback to improve the visualization.  
At the project week, we plan to improve the visualization and features and release our code.  
 
 
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<div style="width: 27%; float: left; padding-right: 3%;">
 
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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
* Integrate with nipype codebase
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* Release code / integrate with nipype codebase
 
* Discuss wishlist for visualization (come see me if you have any thoughts!)
 
* Discuss wishlist for visualization (come see me if you have any thoughts!)
 
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<h3>Progress</h3>
 
<h3>Progress</h3>
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* Code on github: https://github.com/rameshvs/nipype/tree/visualization-serverhttps://github.com/rameshvs/nipype/tree/visualization-server
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* Worked with Dave to visualize Iowa BRAINS pipeline (see screenshot)
 
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Latest revision as of 13:53, 27 June 2014

Home < 2014 Summer Project Week:Pipeline Visualization

Key Investigators

  • Ramesh Sridharan, Adrian Dalca, Polina Golland, MIT

Project Description

We have developed an extension to nipype (http://nipy.sourceforge.net/nipype/) that allows for visualization of pipelines and their results. At the project week, we plan to improve the visualization and features and release our code.

Live demo (temporary link): http://shoutkey.com/grant

Objective

We plan to show our demo and get feedback to improve the visualization.

Approach, Plan

  • Release code / integrate with nipype codebase
  • Discuss wishlist for visualization (come see me if you have any thoughts!)

Progress