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The second model explicitly describes genotype-to-phenotype and phenotype-to-fitness maps, allows for neutrality at both phenotype and fitness levels, and results in a fitness landscape with tunable correlation length.
Colinearity between the two maps allows for development of a consensus map that places markers Cntg4252 and Cntg10192 0.5 cM apart.
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To isolate the effect of simply including multiply-mapped reads, our "non-unique" mapping allows for multiply-mapped reads to be report but only once.
Maps allowed for the expropriation of existing land rights (since indigenous communities often lacked accurate measuring instruments) and an explanation of a colony's significance.
But, taken together, the two maps allow for "a welling up of this aspect of our shared history," as Watson put it when I spoke with her over the phone.
Quality maps allow for comparison with all aluminum alloy systems.
Finally, representative volume elements from predicted porosity maps allow for a prediction of mechanical properties at localized areas.
The maximum enhancement (MAX) and time to peak anhancement (TTP maps) allow for a further characterisation of the perfusion impairment.
The literature, however, takes it for granted that Fuzzy Cognitive Maps allow for a simple aggregation of domain knowledge from several experts without much considering holistic approaches with semantic comparison of concepts.
Mind maps allow for games that deal with general knowledge, as opposed to a game like fold-it that creates an optimized game for specific knowledge like protein folding.
Such interaction maps allow for understanding the complex relationships between genetic products, help to reveal unknown biological functions and pathways, and get a more detailed picture of an organism's complexity [1], [2].
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