[adegenet-commits] r1213 - www
noreply at r-forge.r-project.org
noreply at r-forge.r-project.org
Thu Jul 30 21:41:42 CEST 2015
Author: jombart
Date: 2015-07-30 21:41:42 +0200 (Thu, 30 Jul 2015)
New Revision: 1213
Modified:
www/documentation.html
Log:
updating website for new workshop
Modified: www/documentation.html
===================================================================
--- www/documentation.html 2015-07-30 19:40:53 UTC (rev 1212)
+++ www/documentation.html 2015-07-30 19:41:42 UTC (rev 1213)
@@ -81,6 +81,7 @@
+
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;">
@@ -108,6 +109,7 @@
<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>
@@ -207,6 +209,7 @@
+
Epidemiology</span> / <i>Public Health</i>: <span
style="font-weight: bold;">Introduction to phylogenetics</span>
(last updated on the 15/13/2013)</li>
@@ -258,6 +261,7 @@
+
Epidemiology</span> / <i>Public Health</i>: <span
style="font-weight: bold;">Introduction to multivariate
analysis / bacterial GWAS</span> (last updated on the
@@ -305,6 +309,7 @@
+
</b><b><i>outbreaker</i></b></li>
<ul>
<li><a href="files/GenEpiTalk.1.0.pdf">talk</a></li>
@@ -338,6 +343,7 @@
+
analysis using <span style="font-style: italic;">ape,
adegenet,</span> </span><b>and </b><b><i>outbreaker</i></b></li>
<ul>
@@ -378,44 +384,6 @@
<ul>
<li><a href="files/lectureBogota2014-MVA.1.1.pdf">slides</a>
of the lecture<br>
- </li>
- <li>Workshop "<span style="font-weight: bold;">Genetic data
- analysis using R</span>" - Leuven (October 2014)</li>
- <li>Short R refresher [<a
-href="file:///home/thibaut/dev/adegenet/www/files/Leuven2014/Refresh-R.pdf">lecture</a>]<br>
- </li>
- <li>Introduction to phylogenetics [<a
-href="file:///home/thibaut/dev/adegenet/www/files/Leuven2014/lecture-phylo.1.3.pdf">lecture</a>,
- <a
-href="file:///home/thibaut/dev/adegenet/www/files/Leuven2014/practical-introphylo.1.1.pdf">practical</a>]
- </li>
- <li>Multivariate analysis of genetic data: an introduction [<a
-href="file:///home/thibaut/dev/adegenet/www/files/Leuven2014/lecture-MVA.1.1.pdf">lecture</a>,
- <a
-href="file:///home/thibaut/dev/adegenet/www/files/Leuven2014/practical-MVAintro.1.0.pdf">practical</a>]
- </li>
- <li>Multivariate analysis of genetic data: exploring group
- diversity [<a
-href="file:///home/thibaut/dev/adegenet/www/files/Leuven2014/lecture-MVAgroups.1.1.pdf">lecture</a>,
- <a
-href="file:///home/thibaut/dev/adegenet/www/files/Leuven2014/practical-MVAgroups.1.2.pdf">practical</a>,
- <a
-href="file:///home/thibaut/dev/adegenet/www/files/Leuven2014/practical-MVAgroups-allCmd.1.2.pdf">practical
-
-
-
-
- all commands</a>]</li>
- <li>An introduction to Genome Wise Association Studies (GWAS)
- [<a
-href="file:///home/thibaut/dev/adegenet/www/files/Leuven2014/Lecture-Day4-%20Genome-Wide%20Association%20Studies.pptx">lecture</a>,
- <a
-href="file:///home/thibaut/dev/adegenet/www/files/Leuven2014/practical-GWAS.pdf">practical</a>]</li>
- <li>Multivariate analysis of genetic data: uncovering spatial
- structures [<a
-href="file:///home/thibaut/dev/adegenet/www/files/Leuven2014/lecture-MVAspatial.1.1.pdf">lecture</a>,
- <a
-href="file:///home/thibaut/dev/adegenet/www/files/Leuven2014/practical-MVAspatial.1.0.pdf">practical</a>]<br>
<br>
</li>
</ul>
@@ -448,6 +416,7 @@
+
all commands</a>]</li>
<li>An introduction to Genome Wise Association Studies (GWAS)
[<a
@@ -469,8 +438,8 @@
<li>Short R refresher [lecture]<br>
</li>
<li>Introduction to phylogenetics [lecture, practical] </li>
- <li>Multivariate analysis of genetic data: an introduction [lecture,
- practical] </li>
+ <li>Multivariate analysis of genetic data: an introduction
+ [lecture, practical] </li>
<li>Multivariate analysis of genetic data: exploring group
diversity [lecture, practical]</li>
<li>An introduction to Genome Wise Association Studies (GWAS)
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