[adegenet-commits] r1203 - www

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

Author: jombart
Date: 2015-07-14 12:01:23 +0200 (Tue, 14 Jul 2015)
New Revision: 1203

Modified:
   www/documentation.html
Log:
updating link to tutorials

Modified: www/documentation.html
===================================================================
--- www/documentation.html	2015-07-08 16:29:02 UTC (rev 1202)
+++ www/documentation.html	2015-07-14 10:01:23 UTC (rev 1203)
@@ -79,6 +79,7 @@
 
 
 
+
         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;">
@@ -99,49 +100,15 @@
       <br style="font-family: Helvetica,Arial,sans-serif;">
       <br style="font-family: Helvetica,Arial,sans-serif;">
       <span style="color: rgb(0, 102, 0); font-weight: bold;
-        font-family: Helvetica,Arial,sans-serif;">Tutorials*</span>
-      <ul>
-        <li><a style="font-family: Helvetica,Arial,sans-serif;"
-            href="files/tutorial-basics.pdf"><span style="font-style:
-              italic;">tutorial-basics</span></a><span
-            style="font-family: Helvetica,Arial,sans-serif;">:
-            introduction to the package: data classes, inputs/outputs,
-            basic population genetics, and exploratory analyses;
-            accessible from R by typing </span><span style="color:
-            rgb(255, 0, 0); font-family: Helvetica,Arial,sans-serif;"></span><span
-            style="font-family: monospace; color: rgb(255, 0, 0);">adegenetTutorial("basics")</span>.</li>
-        <li><a style="font-family: Helvetica,Arial,sans-serif;"
-            href="files/tutorial-dapc.pdf"><span style="font-style:
-              italic;">tutorial-dapc</span></a><span style="font-family:
-            Helvetica,Arial,sans-serif;">: a tutorial for the analysis
-            of population diversity using Discriminant Analysis of
-            Principal Components (DAPC); accessible from R by typing</span> <span
-            style="font-family: monospace; color: rgb(255, 0, 0);"><span
-              style="font-family: monospace; color: rgb(255, 0, 0);">adegenetTutorial</span>("dapc")</span>.</li>
-        <li><a style="font-family: Helvetica,Arial,sans-serif;"
-            href="files/tutorial-genomics.pdf"><span style="font-style:
-              italic;">tutorial-genomics</span></a><span
-            style="font-family: Helvetica,Arial,sans-serif;">:
-            introduction to the genlight class for storing and handling
-            large genome-wide SNP data; accessible from R by typing</span>
-          <span style="font-family: monospace;"></span><span
-            style="font-family: monospace; color: rgb(255, 0, 0);">adegenetTutorial("genomics")</span>.</li>
-        <li><a style="font-family: Helvetica,Arial,sans-serif;"
-            href="files/tutorial-spca.pdf"><span style="font-style:
-              italic;">tutorial-spca</span></a><span style="font-family:
-            Helvetica,Arial,sans-serif;">: introduction to spatial
-            multivariate analysis using the spatial Principal Component
-            Analysis (sPCA); accessible from R by typing</span> <span
-            style="font-family: monospace; color: rgb(255, 0, 0);">adegenetTutorial</span><span
-            style="font-family: monospace; color: rgb(255, 0, 0);">("spca")</span>.</li>
-      </ul>
-    </div>
-    <div style="margin-left: 40px;"> <span style="color: rgb(0, 102,
-        0);"><small>*(note: since adegenet 1.4-0, these tutorials
-          replace the vignettes which used to be part of the package)</small></span><br>
-           <br>
+        font-family: Helvetica,Arial,sans-serif;">Tutorials*</span><br>
+      <font face="Helvetica, Arial, sans-serif">Up-to-date tutorials are
+        now hosted on Github:<br>
+        <a target="_top"
+          href="https://github.com/thibautjombart/adegenet/wiki/Tutorials">https://github.com/thibautjombart/adegenet/wiki/Tutorials</a>    
+      </font><br>
       <span style="font-weight: bold; color: rgb(0, 102, 0);
         font-family: Helvetica,Arial,sans-serif;"><br>
+        <br>
         Lectures and practicals</span><br style="font-family:
         Helvetica,Arial,sans-serif;">
       <ul style="font-family: Helvetica,Arial,sans-serif;">
@@ -235,6 +202,7 @@
 
 
 
+
             Epidemiology</span> / <i>Public Health</i>: <span
             style="font-weight: bold;">Introduction to phylogenetics</span>
           (last updated on the 15/13/2013)</li>
@@ -284,6 +252,7 @@
 
 
 
+
             Epidemiology</span> / <i>Public Health</i>: <span
             style="font-weight: bold;">Introduction to multivariate
             analysis / bacterial GWAS</span> (last updated on the
@@ -328,6 +297,7 @@
 
 
 
+
           </b><b><i>outbreaker</i></b></li>
         <ul>
           <li><a href="files/GenEpiTalk.1.0.pdf">talk</a></li>
@@ -359,6 +329,7 @@
 
 
 
+
             analysis using <span style="font-style: italic;">ape,
               adegenet,</span> </span><b>and </b><b><i>outbreaker</i></b></li>
         <ul>
@@ -423,6 +394,7 @@
               href="files/Leuven2014/practical-MVAgroups-allCmd.1.2.pdf">practical
 
 
+
               all commands</a>]</li>
           <li>An introduction to Genome Wise Association Studies (GWAS)
             [<a