[adegenet-commits] r77 - www

noreply at r-forge.r-project.org noreply at r-forge.r-project.org
Thu Mar 27 13:17:10 CET 2008


Author: jombart
Date: 2008-03-27 13:17:10 +0100 (Thu, 27 Mar 2008)
New Revision: 77

Modified:
   www/documentation.html
Log:
Added references to articles.


Modified: www/documentation.html
===================================================================
--- www/documentation.html	2008-03-27 10:42:27 UTC (rev 76)
+++ www/documentation.html	2008-03-27 12:17:10 UTC (rev 77)
@@ -19,18 +19,28 @@
 R to get an overview of package. <br>
 </div>
 <br>
-<div style="margin-left: 40px;">Note that an application note
-describing the
-package has also been submitted to Bioinformatics.<br>
-<span style="font-family: monospace; font-weight: bold;"></span><br>
-<span style="font-family: monospace; font-weight: bold;"></span>The
+<div style="margin-left: 40px;"><span
+ style="font-family: monospace; font-weight: bold;"></span><span
+ style="font-family: monospace; font-weight: bold;"></span>The
 following other ressources are available:<br>
 - the adegenet <span style="font-weight: bold;">manual</span> (<a
  href="files/adegenet.pdf">pdf</a>), which compiles all the
 documentation of the package.<br>
 - the adegenet <span style="font-weight: bold;">tutorial</span> (<a
  href="files/tutorial.pdf">pdf</a>), which goes through the main
-functionalities of the package.<span style="color: rgb(255, 0, 0);"><br>
-</span></div>
+functionalities of the package.<br>
+<br>
+<span style="text-decoration: underline;">Related publications:</span><br>
+- a paper presenting the sPCA, global and local tests [<b>Jombart T, </b>Devillard
+S, Dufour AB, Pontier D<b> </b>(in
+press)<b> </b>Revealing
+cryptic spatial patterns in genetic variability by a new multivariate
+method. <span style="font-style: italic;">Heredity</span>.]<br>
+- an application note presenting the adegenet package [<span
+ style="font-weight: bold;">Jombart T</span>.<span
+ style="font-weight: bold;"> </span>adegenet: a R
+package for the multivariate analysis of genetic markers. Submitted to <span
+ style="font-style: italic;">Bioinformatics</span>.]<br>
+<span style="color: rgb(255, 0, 0);"></span></div>
 </body>
 </html>



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