Difference between revisions of "EGene-MVN"

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(Created page with "Category:SoftwareCategory:BiologyCategory:Genetics {|<!--CONFIGURATION: REQUIRED--> |{{#vardefine:app|egene-mvn}} |{{#vardefine:url|http://genetics.cs.ucla.edu/ege...")
 
 
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[[Category:Software]][[Category:Biology]][[Category:Genetics]]
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[[Category:Software]][[Category:Biology]][[Category:Genomics]]
 
{|<!--CONFIGURATION: REQUIRED-->
 
{|<!--CONFIGURATION: REQUIRED-->
 
|{{#vardefine:app|egene-mvn}}
 
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<!--Modules-->
 
<!--Modules-->
==Required Modules==
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==Environment Modules==
 
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Run <code>module spider {{#var:app}}</code> to find out what environment modules are available for this application.
===Serial===
 
* {{#var:app}}
 
<!--
 
===Parallel (OpenMP)===
 
* intel
 
* {{#var:app}}
 
===Parallel (MPI)===
 
* intel
 
* openmpi
 
* {{#var:app}}
 
-->
 
 
==System Variables==
 
==System Variables==
* HPC_{{#uppercase:{{#var:app}}}}_DIR - installation directory
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* HPC_{{uc:{{#var:app}}}}_DIR - installation directory
 
<!--Configuration-->
 
<!--Configuration-->
 
{{#if: {{#var: conf}}|==Configuration==
 
{{#if: {{#var: conf}}|==Configuration==

Latest revision as of 14:57, 15 August 2022

Description

egene-mvn website  

Meta-Tissue is a free software for identifying eQTLs from multiple tissues. It uses meta-analysis to combine results from multiple tissues. As the above picture shows, studies may not detect eQTLs in any of 4 tissues (cortex, heart, liver, spleen). However, by combining results of 4 tissues, we may detect eQTLs. Hence, Meta-Tissue is a powerful approach to detect eQTLs shared across multiple tissues.

Environment Modules

Run module spider egene-mvn to find out what environment modules are available for this application.

System Variables

  • HPC_EGENE-MVN_DIR - installation directory




Citation

If you publish research that uses egene-mvn you have to cite it as follows:

Jae Hoon Sul*, Buhm Han*, Chun Ye*, Ted Choi, and Eleazar Eskin, "Effectively identifying eQTLs from multiple tissues by combining mixed model and meta-analytic approaches." PLoS Genetics. 9, e1003491, 2013.