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CycDesigN - Experimental Design Software
CycDesigN is a sophisticated software tool designed to generate optimal or near-optimal experimental designs for a diverse range of trials including field, phenotypic platform, laboratory, clinical, and taste testing. It enhances both the efficiency and effectiveness of experiments, allowing users to achieve robust statistical designs quickly and practically. CycDesigN supports a variety of blocking structures, such as one or two-dimensional, and offers options for resolvable and non-resolvable designs. The software includes innovative features like spatial design consideration, using autoregressive correlation to acknowledge decreasing correlation over distance. CycDesigN generates outputs compatible with Genstat or SAS, providing essential scripts and files for design implementation. Its utility spans multiple industries such as plant science, forestry, medical, clinical, and veterinary sectors, optimizing designs to support research and breeding objectives.
CycDesigN will generate optimal or near optimal experimental designs for your trials. Whether you are working with field, phenotypic platform, laboratory, clinical or taste testing trials, CycDesigN experimental design software supports gains in the efficiency and effectiveness of your tests, which can reduce costs and improve the outcomes of your testing trials.
CycDesigN produces an extensive range of statistically robust experimental designs that are quick and easy to generate and practical to implement. CycDesigN generates the best possible experimental designs with one or two-dimensional blocking structures for a range of design parameters and design types.
The software includes options to produce resolvable and non-resolvable IB and row-column designs, alpha-design, along with many more options. Optimal spatial design can be generated by CycDesigN and considers the separations between treatments. This is done using an autoregressive correlation phenomenon that acknowledges that correlation reduces as experimental units get further apart.
Once your optimised experimental design has been constructed, the output generated includes Genstat or SAS code as well as various file options to view and implement the design.
Exploring CycDesign experimental design software for your sector
Plant
Maximising the value of your plant breeding trials start with good design. CycDesigN will optimise your p-rep and resolvable and non-resolvable designs.
Forestry
CycDesigN makes the design of experiments such as p-rep, resolvable and non-resolvable designs easy to generate and implement. Effective design will support your research or breeding goals.
Medical/clinical
Optimal crossover designs can be achieved in a few easy steps in CycDesigN, helping you reach your research objectives. Resolvable and non-resolvable designs help with the precision of treatment comparisons.
Veterinary
For ethical (and scientific) reasons, experiments involving animals should be appropriately designed to increase the validity of the results. CycDesigN will optimise your crossover, resolvable and non-resolvable designs.
Sensory testing
Experimental design is a critical component to the success of any sensory analysis research. Using the Crossover design in CycDesigN leads to improved outcomes and results.
Resolvable designs
Resolvable designs have the treatments arranged in groups of blocks or rows and columns such that each treatment occurs once in each set. They can be latinized, t-latinized or partially latinized.
Non-resolvable designs
Non-resolvable designs are available for situations where the design cannot be resolved into replicate groups.
P-rep designs
P-rep designs offer 2 variations. Single location p-rep designs are an alternative to unreplicated designs. Several standard treatments (controls) are typically included for comparative purposes and to contribute to an estimate of error. Multi-location p-rep designs have test treatments appearing either once, twice or not at all in each location. Each treatment occurs as equally as possible in the overall design.
Crossover designs
Crossover designs are used when sequences of treatments are applied to several subjects over a number of time periods.