From noreply at r-forge.r-project.org Fri Mar 14 16:01:47 2014
From: noreply at r-forge.r-project.org (noreply at r-forge.r-project.org)
Date: Fri, 14 Mar 2014 16:01:47 +0100 (CET)
Subject: [adegenet-commits] r1158 - in www: . images images/gimp
Message-ID: <20140314150148.688AD186E0C@r-forge.r-project.org>
Author: jombart
Date: 2014-03-14 16:01:47 +0100 (Fri, 14 Mar 2014)
New Revision: 1158
Added:
www/images/sshotdapcserver1.png
www/images/sshotdapcserver2.png
www/images/sshotdapcserver3.png
Modified:
www/acceuil.html
www/images/acceuil.png
www/images/gimp/acceuil.xcf
www/news.html
www/screenshots.html
Log:
updated website
Modified: www/acceuil.html
===================================================================
--- www/acceuil.html 2013-12-03 04:28:29 UTC (rev 1157)
+++ www/acceuil.html 2014-03-14 15:01:47 UTC (rev 1158)
@@ -37,7 +37,9 @@
by Thibaut
- Jombart, Ismail Ahmed, Caitlin Collins, , Caitlin Collins, Ismail Ahmed, Federico Calboli, Anne
Cori, Tobias Erik Reiners, and CRAN
periodically.
- adegenet is described in the following application notes:
- Jombart T. (2008) adegenet: a R package for
- the multivariate analysis of genetic markers. Bioinformatics 24: 1403-1405. doi:
- 10.1093/bioinformatics/btn129 [
+
+ - Jombart T. (2008) adegenet: a R package for the
+ multivariate analysis of genetic markers. Bioinformatics 24: 1403-1405. doi:
+ 10.1093/bioinformatics/btn129 [link
- to a free pdf]
-
- Jombart T. and Ahmed I. (2011) adegenet 1.3-1: new tools for the analysis of
- genome-wide SNP data. Bioinformatics.
- doi: 10.1093/bioinformatics/btr521 [
+
+
+ - Jombart T. and Ahmed I. (2011) adegenet 1.3-1: new tools for the analysis
+ of genome-wide SNP data. Bioinformatics.
+ doi: 10.1093/bioinformatics/btr521 [link
to
@@ -67,9 +69,12 @@
- the bublisher's website]
+
+
+ the bublisher's website
]
+
+
-
@@ -84,92 +89,98 @@
Main
features of adegenet are:
- - data representation (
classes)
- suitable for multivariate analysis
-
- - data import from
- GENETIX, STRUCTURE, Genepop, Fstat, Easypop, or any dataframe of
- genotypes
- - data import from aligned DNA
- sequences to SNPs
- - data import from aligned
- protein sequences to polymorphic sites
- - data export to the R
- packages genetics, hierfstat, LDheatmap
- - handling of different levels
- of ploidy
- - handling of codominant
+
+ - data representation (classes)
+ suitable for multivariate analysis
+ - data import
+ from GENETIX, STRUCTURE, Genepop, Fstat, Easypop, or any
+ dataframe of genotypes
+ - data import from aligned
+ DNA sequences to SNPs
+ - data import from aligned
+ protein sequences to polymorphic sites
+ - data export to
+ the R packages genetics, hierfstat, LDheatmap
+ - handling of different
+ levels of ploidy
+ - handling of codominant
+ markersandpresence/absence
+ data
+ - basic and advanced data
- markersandpresence/absence data
- - basic and advanced data
- manipulation
- - basic data information (heterozygosity,
+ manipulation
+ basic data
+ information (heterozygosity, numbers of alleles,
+ sample sizes, ...)
+ HWE and G-statistic tests, F statistics
+ implemented for adegenet objects
+ computation of genetic
+ distances
+ computation of pairwise
- numbers of alleles, sample sizes, ...)
- - HWE and G-statistic tests, F statistics
- implemented for adegenet objects
- - computation of genetic
- distances
- - computation of pairwise
+ Fst
+ simulation of hybridization
+ methods for spatial
+ genetics: sPCA, tests
+ for global and local structuring, Monmonier algorithm
+ the seqTrackalgorithm
- Fst
- - simulation of hybridization
- - methods for spatial genetics: sPCA, tests for global and local
- structuring, Monmonier
- algorithm
- - the seqTrackalgorithm
+ for reconstructing genealogies of haplotypes
+ simulation of genealogies
- for reconstructing genealogies of haplotypes
- - simulation of genealogies
-
-
- of haplotypes
- - Discriminant Analysis of Principal Components (DAPC)
- - efficient genome-wise SNP data handling and analysis
- - extraction of SNPs from genomic alignments
- - graph-based clustering
- of genomic data
- - identification of mutations between pairs of sequences
+ of haplotypes
+ Discriminant Analysis of Principal Components (DAPC)
+ efficient genome-wise SNP data handling and analysis
+ extraction of SNPs from genomic alignments
+ graph-based
+ clustering of genomic data
+ identification of mutations between pairs of sequences
+
+ visualization of SNPs density and test for the
+ randomness of their distribution
+ web interface for DAPC, including feature
+ selection and cross validation
+
+
+
Maintainer:
@@ -177,18 +188,26 @@
href="http://sites.google.com/site/thibautjombart/">website)
Developers:
Thibaut Jombart (tjombart at imperial.ac.uk),
+Caitlin
+ Collins (caitiecollins at gmail.com),
+
+
+
+
Isma?l Ahmed (ismail.ahmed at inserm.fr),
-Caitlin
- Collins (caitiecollins17 at gmail.com),
+
+
Federico Calboli (f.calboli at imperial.ac.uk),
+
+
Anne Cori (a.cori at imperial.ac.uk),
Tobias
@@ -196,12 +215,16 @@
+
+
Erik Reiners (Tobias.Reiners at Senckenberg.de),
+
+
P?ter S?lymos (solymos at ualberta.ca)
Contributors
(datasets/ideas): Christophe Fraser, Katayoun
Modified: www/images/acceuil.png
===================================================================
(Binary files differ)
Modified: www/images/gimp/acceuil.xcf
===================================================================
(Binary files differ)
Added: www/images/sshotdapcserver1.png
===================================================================
(Binary files differ)
Property changes on: www/images/sshotdapcserver1.png
___________________________________________________________________
Added: svn:mime-type
+ application/octet-stream
Added: www/images/sshotdapcserver2.png
===================================================================
(Binary files differ)
Property changes on: www/images/sshotdapcserver2.png
___________________________________________________________________
Added: svn:mime-type
+ application/octet-stream
Added: www/images/sshotdapcserver3.png
===================================================================
(Binary files differ)
Property changes on: www/images/sshotdapcserver3.png
___________________________________________________________________
Added: svn:mime-type
+ application/octet-stream
Modified: www/news.html
===================================================================
--- www/news.html 2013-12-03 04:28:29 UTC (rev 1157)
+++ www/news.html 2014-03-14 15:01:47 UTC (rev 1158)
@@ -28,30 +28,63 @@
0, 0);">
What's next?
- Next release (1.4-0) is under development.
+ Next release (1.4-1) is under development.
Today
Current stable version of
- adegenet is 1.3-9 for
- R.3.0.1.
- You can install the devel version from R-Forge.
+ adegenet is 1.4-0 for
+ R.3.0.3.
See the current ChangeLog
for a list of all modifications.
- 28/06/2013
+ 14/03/2014
+ New adegenet version (1.4-0)
+ has been released for R-3.0.3! New features
+ include a web interface for DAPC (adegenetServer),
+ improvements of the DAPC cross-validation procedure for small
+ sample sizes, visualization and test of the SNP density on
+ alignments (snpposi.plot,snpposi.test),
+
+ and DAPC-based feature selection (snpzip).
+
+ See the ChangeLog file for more details.
+
+ 28/06/2013
Caitlin Collins has joined the development team, and will be
- implementing DAPC-basec feature-selection procedures.
+ implementing DAPC-based feature-selection procedures.
- 18/06/2013
+ 18/06/2013
The development of adegenet has now moved on Sourceforge. The
adegenet website will remain at its current place. More on:
https://sourceforge.net/projects/adegenet/
@@ -125,6 +158,8 @@
+
+
with a possibility of visualization using graphs (Fst from the
@@ -596,6 +635,8 @@
+
+
The function chooseCN has a new option to return a list of
spatial weights defined as the inverse of spatial distances, at a
@@ -637,6 +678,8 @@
+
+
Principal Component Analysis (Jombart et al, submitted to
Heredity), two multivariate spatial tests, and new functionalities
for Monmonier's algorithm.
@@ -656,6 +699,8 @@
+
+
manipulation: new function to separate data by
population. Accessors to genind and genpop object like with
matrices using 'foo[ chosenGenotypes, chosenAlleles]'.
@@ -705,6 +750,8 @@
+
+
using sim2pop data.
Modified: www/screenshots.html
===================================================================
--- www/screenshots.html 2013-12-03 04:28:29 UTC (rev 1157)
+++ www/screenshots.html 2014-03-14 15:01:47 UTC (rev 1158)
@@ -1,10 +1,10 @@
-
+
-
-
- documentation
-
-
-
-
-
-
-Here are a few pictures of adegenet
-version 1.3-0 working on a linux system. Users are encouraged
-to submit their own artwork.
-
-DAPC of simulated data with superimposed minimum spanning tree:
-
-
-
-
-
- DAPC of H3N2 dataset:
-
-
-
- DAPC plot of group membership
-(compoplot), microbov dataset:
-
-
-
- Interpolation and mapping of sPCA
-scores (simulated data):
-
-
- sPCA colorplot of the rupica
-dataset:
-
-
-
- Multiple co-inertia analysis in
-the example of microbov dataset:
-
-
-
-
- Monmonier algorithm example:
-
-
-
-
-
-
-
+
+
+
+
+
+ Here are a few pictures of adegenet
+ version 1.4-0 working on a linux system. Users are encouraged
+ to submit their own artwork.
+
+ DAPC server - one dimensional scatterplot:
+
+
+
+ DAPC server - two-dimensional scatterplot:
+
+
+
+ DAPC server - cross-validation:
+
+
+
+ DAPC of simulated data with superimposed minimum spanning tree:
+
+
+
+
+
+ DAPC of H3N2 dataset:
+
+
+
+ DAPC plot of group membership
+ (compoplot), microbov dataset:
+
+
+
+ Interpolation and mapping of
+ sPCA
+ scores (simulated data):
+
+
+ sPCA colorplot of the rupica
+ dataset:
+
+
+
+ Multiple co-inertia analysis
+ in
+ the example of microbov dataset:
+
+
+
+
+ Monmonier algorithm example:
+
+
+
+
+
+
+