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.

Features

Project Activity

See All Activity >

License

GNU Library or Lesser General Public License version 2.0 (LGPLv2)

Follow RawGeno

RawGeno Web Site

Other Useful Business Software
Open source. Easy to use. Proven. Complete. Icon
Open source. Easy to use. Proven. Complete.

End to end big data that enables you to spend less time formatting data and more time analyzing it.

Discover HPCC Systems - the truly open source big data solution that allows you to quickly process, analyze and understand large data sets, even data stored in massive, mixed-schema data lakes. Designed by data scientists, HPCC systems is a complete integrated solution from data ingestion and data processing to data delivery. The free online introductory courses and a robust developer community allow you to get started quickly.
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
4
0
0
0
0
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5

User Reviews

Be the first to post a review of RawGeno!

Additional Project Details

Operating Systems

Linux, Windows

Languages

English

Intended Audience

Science/Research

User Interface

Tk

Programming Language

S/R

Related Categories

S/R Molecular Science Software, S/R Bio-Informatics Software

Registered

2009-01-06