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GenStat is a software tool for graphical analysis of genetic data that uses readily available web-accessible data to create colorful charts, graphs, and genomic relationships. It will work on your Mac or Windows computer. The latest version has an improved interface with features designed for ease of use. GenStat was originally created in 2008 by the Genome Data Analysis Group at the University of California Santa Cruz in response to needs for genomic visualization. As its name implies, GenStat is a cross-platform graphical tool which has been both used and appreciated by thousands across the globe. It can be used to study biological, physical, or computational processes for many different kinds of data formats. The scripts to produce GenStat outputs are all written in R programming language. GenStat is free software distributed under the terms of the GNU General Public License version 3 (GPLv3). The current version is 1.2, released on February 21, 2018.

A list of publications that refer to GenStat:

Full list of all scripts and programs developed by the Genome Data Analysis Group at the University of California Santa Cruz

The reviews will give you a general idea about what it can or cannot do for you. The "script for this" offers the workflows that are very graphically rich. The reviews would be helpful before you download or install GenStat. The "Quickstart Guide" is a quick tutorial on how to use all of the features. It has step-by-step instructions for each option. A discussion forum with general questions about GenStat, its features and limitations

GenStat can be downloaded from our website at http://genstat-software.org/genstat/.

GenStat comes with 70 scripts and hundreds of GenStat outputs, which you can use as your own or download and study others' workflows. In addition to the high-level scripts that you can run directly from the GUI, many scripts are provided as low-level components that can be called from your own R scripts.

The "Quickstart Guide" is a tutorial on how to use all of the features. It has step-by-step instructions for each option. There is a "Quickstart guide" for both GenStat 1 and 2.

For example, if one wants to see a relationship between gene expression and a genomic variable using a number of samples, one may run the script for that purpose from its menu item in GenStat 2.

The GenStat scripts and their output can be viewed on https://genstat-software.org/.

The GenStat website has a blog that discusses the latest news and developments in the community. The blog posts can be generated with all of the features that you see in our GUI:

We also have an issue tracker on GitHub for reporting bugs and requests/suggestions:

GenStat is developed by a group of research scientists and undergraduate students at UC Santa Cruz. We welcome collaboration, especially from those who would like to contribute to the development of GenStat, as well as those who can help further improve it.

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