[adegenet-commits] r1196 - www

[noreply at r-forge.r-project.org]

Author: jombart
Date: 2014-10-29 19:20:41 +0100 (Wed, 29 Oct 2014)
New Revision: 1196

Modified:
   www/documentation.html
Log:
added link to practical with solutions

Modified: www/documentation.html
===================================================================
--- www/documentation.html	2014-10-29 18:18:42 UTC (rev 1195)
+++ www/documentation.html	2014-10-29 18:20:41 UTC (rev 1196)
@@ -76,6 +76,7 @@
 
 
 
+
         engine</a><span style="font-family: Helvetica,Arial,sans-serif;">.
       </span><br style="font-family: Helvetica,Arial,sans-serif;">
       <br style="font-family: Helvetica,Arial,sans-serif;">
@@ -229,6 +230,7 @@
 
 
 
+
             Epidemiology</span> / <i>Public Health</i>: <span
             style="font-weight: bold;">Introduction to phylogenetics</span>
           (last updated on the 15/13/2013)</li>
@@ -275,6 +277,7 @@
 
 
 
+
             Epidemiology</span> / <i>Public Health</i>: <span
             style="font-weight: bold;">Introduction to multivariate
             analysis / bacterial GWAS</span> (last updated on the
@@ -316,6 +319,7 @@
 
 
 
+
           </b><b><i>outbreaker</i></b></li>
         <ul>
           <li><a href="files/GenEpiTalk.1.0.pdf">talk</a></li>
@@ -344,6 +348,7 @@
 
 
 
+
             analysis using <span style="font-style: italic;">ape,
               adegenet,</span> </span><b>and </b><b><i>outbreaker</i></b></li>
         <ul>
@@ -403,7 +408,10 @@
           <li>Multivariate analysis of genetic data: exploring group
             diversity [<a
               href="files/Leuven2014/lecture-MVAgroups.1.1.pdf">lecture</a>,
-            <a href="files/Leuven2014/practical-MVAgroups.1.2.pdf">practical</a>]</li>
+            <a href="files/Leuven2014/practical-MVAgroups.1.2.pdf">practical</a>,
+            <a
+              href="files/Leuven2014/practical-MVAgroups-allCmd.1.2.pdf">practical
+              all commands</a>]</li>
           <li>An introduction to Genome Wise Association Studies (GWAS)
             [lecture, practical]</li>
           <li>Multivariate analysis of genetic data: uncovering spatial