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	<title>NAMIC Wiki:Community Pipelines - Revision history</title>
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	<updated>2026-04-10T08:01:03Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://www.na-mic.org/w/index.php?title=NAMIC_Wiki:Community_Pipelines&amp;diff=4285&amp;oldid=prev</id>
		<title>Andy: Update from Wiki</title>
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		<updated>2006-12-18T13:39:51Z</updated>

		<summary type="html">&lt;p&gt;Update from Wiki&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;Pipelines in NAMIC can be divided into two main categories:&lt;br /&gt;
&lt;br /&gt;
* Dataflow Pipelines at the C++ Class level (as done in ITK/VTK)&lt;br /&gt;
* Workflow Pipelines at the level of a clinical study or experiment.&lt;br /&gt;
&lt;br /&gt;
The first type is fairly well established and standardized; the second is evolving. This page is meant to explore the implementation of Workflow Pipelines for NAMIC.&lt;br /&gt;
&lt;br /&gt;
== Workflow Pipeline Tools ==&lt;br /&gt;
&lt;br /&gt;
The LONI Pipeline is being developed at UCLA for NAMIC and other projects to provide a high level user interface to processing tools. Each processing step is at the level of a unix process. The LONI Pipeline interfaces with Sun Grid Engine to distribute these processes across multiple machines. [[LONIPipelineSummary|LONIPipelineSummary]]&lt;br /&gt;
&lt;br /&gt;
== Workflows Needed in NAMIC ==&lt;br /&gt;
&lt;br /&gt;
Each DBP has provided multi-subject research data sets for testing. The Workflow Pipeline should support the following basic steps:&lt;br /&gt;
&lt;br /&gt;
* Allow selection of a dataset (with a browse tool)&lt;br /&gt;
* Iterate through the subjects&lt;br /&gt;
** download the data from the [[DataRepository|DataRepository]] to the processing machine&lt;br /&gt;
** invoke the processing tool&lt;br /&gt;
** upload results back&lt;br /&gt;
&lt;br /&gt;
The best initial example of this would be to use one of the example ITK executables as presented in the [[Dissemination:Workshop_Dec9-10_Boston_Presentations|Dissemination Workshops]], such as a gaussian smoothing filter as described in [[Media:Insight-Filtering.ppt| these powerpoint slides]].&lt;br /&gt;
&lt;br /&gt;
Other needed workflows include:&lt;br /&gt;
&lt;br /&gt;
* Processing DTI data across subject populations&lt;br /&gt;
* Group statistical analysis with respect to genetic and clinical data&lt;br /&gt;
* other...&lt;/div&gt;</summary>
		<author><name>Andy</name></author>
		
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