GenStat has long been known as the tool for data analysis in the biosciences. A general statistics package that provides a wide selection of statistical procedures for analysing data; from its very beginning at Rothamsted Research GenStat was designed for agricultural research. Over the years it has developed, new features have been added, more statistical analysis techniques included, existing techniques and features extended and developed into a software package that provides a huge range of statistical techniques – appropriate for many different areas and subjects, but very specifically suited for all areas of bioscience.
With the release of GenStat 13, we have taken further steps to develop and extend its functionality. The existing suite of menus for QTL analysis, of particular interest to plant researchers and breeders, has been extended to allow for the detection of QTLs in outcross populations and by association mapping. This suite allows researchers to easily access techniques for QTL analysis, without complex programming.
The continued development on our core areas has led to trellis plots of predicted means from regression and REML analysis, which will allow for prediction from any model and extends the ability for uses to visually display their data.
Other enhancements include quantile nonlinear regression, stepwise discriminant analysis to augment GenStat’s existing multivariate analysis techniques, new data mining commands for neural networks and random classification forests, and sampling for stratified surveys.
You can see the full list of new developments in GenStat 13 here.
Existing supported users can upgrade here.