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RawGeno Version 2.0-1 is released! RawGeno is an R CRAN library automating the scoring of AFLP electropherograms. The library includes a graphical user interface to simplify its use. Note that the 2.0-1 version is delivered as a source (*.tar.gz for Linux and Mac users) and as a binary file (*.zip, for Windows users). The installation procedure differs slightly according to your system; but this should remain simple. Have a look at the readme file when you download your new copy from https://sourceforge.net/projects/rawgeno/files/rawgeno/RawGeno%202.0-1/ Make also sure to have a look at https://sourceforge.net/projects/rawgeno/files/ where you can find a detailed manual, demo datasets and many demo scripts.8 weekly downloads
MICROSATELIGHT is a Perl/Tk graphical user interface (GUI) that facilitates several tasks when scoring microsatellites.9 weekly downloads
P2EMA (Perl Pipeline to Expedite Microsatellite Analysis)2 weekly downloads
The TreeRank project is a R package implementing a Machine Learning algorithm to build tree-based ranking rules from data with binary labels, based on ROC optimization.2 weekly downloads
AWclust is easy to use non-parametric population structure analysis software written for R with a GUI interface. Just point and click and you will be on your way to discovering the important cluster information in your SNP data sets.1 weekly downloads
RBanking is an offline banking tool that adds the power of R (statistical computing and graphics) to your banking data. Download the information of your accounts online and then use this tool to process this data, create reports and graphs.
Subpop is a non-parametric population structure analysis toolsuite with a GUI interface. This method works well with both small and large SNP datasets, depending on the degree of differences between the subpopulations.
Software for visualizing and interpreting NMR data, with an emphasis on metabolomics. Go to the rNMR homepage at http://rnmr.nmrfam.wisc.edu for more details.
Processing and visualization of radar data for biological applications, atop the statistical language R.