MultiQTL is an integrated system for mapping quantitative traits and QTL analysis in controlled crosses. .
- Conducting pre-experiment simulation analysis of a variety of experimental designs, helping to build a design with best cost/benefit ratio.
- Simulation assistance for ongoing experiments conducted within a concrete project, using the available information at any stage of the project in order to optimize the decision making for the subsequent steps.
- QTL data analysis post-experiment: efficient and sophisticated, though fast and easy to use.
- Testing alternative hypotheses and models in a straightforward and clear way; flexible control of the permutation options.
- A spectrum of bootstrapping options allowing to evaluate the QTL detection power, the distribution of the probability of a QTL presence across intervals, and confidence intervals of the estimated QTL effect and location.
- Versatile data mining and editing, virtual restoration of missing marker scores
- Extensive data simulation to compare experimental designs
- Single-QTL, two-linked QTL
- Multiple QTL analysis
- Evaluating the accuracy of the estimated parameters and QTL detection power that depends both on the data and the power of MultiQTL
- Allowing for selective genotyping design
- Single, two, and multiple-trait analysis
- Epistasis analysis for single and multiple-trait models
- QTL analysis across multiple environments (ME)
- Logit-transformation for QTL analysis of proportions
- Multiple Interval Analysis (MIM)
- Multiple-traits, multiple-family and ME analysis combined with MIM