There is also a probability of an opposite effect, when non-identical markers may become “twins” because of genotyping errors. In our algorithm, we assume that error-free markers can be selected based on the presence of “twins”. The higher the error rate the more difficult is the problem of building a reliable map. Real situations are also complicated by genotyping errors, which “diversify” a certain part of the markers that would be identical in error-free situations. However, with very large numbers of markers available for a mapping population, most of the markers will remain inseparable by recombination.
Recent advances of genomic technologies have opened unprecedented possibilities in building high-quality ultra-dense genetic maps.
