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D6.3v3: Genome Wide Association Study Workflows v3

Kristina Hettne; Marco Roos; Eleni Mina; Eelke van de Horst; Harish Dharuri; Mark Thompson; Don Cruickshank; Stian Soiland-Reyes; Sander van Boom


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    <subfield code="a">&lt;p&gt;This document describes the workflows developed during phase III of the project at the &lt;em&gt;Human Genetics Department&lt;/em&gt; of the &lt;em&gt;Leiden University Medical Centre&lt;/em&gt; (HG-LUMC) for interpreting results from &lt;em&gt;genome-wide association&lt;/em&gt; (GWA) studies and for gene expression data related to &lt;em&gt;Huntington&amp;rsquo;s disease&lt;/em&gt;.&lt;/p&gt;

&lt;p&gt;The main goal of this deliverable is to produce &lt;strong&gt;workflows&lt;/strong&gt;. At the same time, we applied the &lt;em&gt;tooling&lt;/em&gt; and &lt;em&gt;best practices&lt;/em&gt; that are emerging from the project to aggregate the workflow and associated material as a preserved &amp;ldquo;&lt;strong&gt;Research Object&lt;/strong&gt;&amp;rdquo; (RO).&lt;/p&gt;

&lt;p&gt;A detailed description about the state of the current tooling can be found in &lt;em&gt;D1.4v2&lt;/em&gt;. Workflows form a crucial part of the data to populate the RO models and software in &lt;em&gt;Wf4Ever&lt;/em&gt;, and the HG-LUMC is committed to producing good quality workflows that can be preserved.&lt;/p&gt;

&lt;p&gt;Finally, we characterize the workflows according to current state of workflow preservation and archived them according to the project tooling.&lt;/p&gt;</subfield>
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