The advantage of inferring recombination from LD is that it integrates the many recombination events occurring in the history of a population, instead of the rather few that occur in the generation of a mapping population.
Indeed, recombination lies at the heart of every genetic analysis, and whereas linkage maps in the past were constructed primarily to aid in the generation of a physical map, linkage maps are currently being recognized as indispensable tools to study virtually every aspect of genome biology.
The steps include development of a seeding statement, generation of statements (brainstorming), sorting of the statements, generation of a concept map and revision of the concept map.
With the raw data generated, "untargeted" profiling requires the generation of a feature map, which attempts to assimilate all the mass spectra in an experiment into "features," which represent co-eluting ion species.
The generation of a composite map increases the effective number of individuals within the mapping population, improving the chance of observing recombination events.
Having QTL for the same trait replicate in multiple generations of a mapping study increases the probability that the QTL is causal.
Our final model combined probability of being at risk height and allowed the generation of a risk map covering the entire southern Africa range of the species.
In this paper a neural network is used for the generation of a contour map of the ground conductivity in Cyprus.
Extensible Tracking allows the generation of a 3D map of the environment "on the fly".
In this study seven parameters are used for generation of a hazard map, this includes geology, soil, slope, land use, historical earthquake events, fault line, and roads.
