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Our atom mapping approach finds a first atom mapping for homovalent elementary reactions within milliseconds.
This result highlights three facts: First, the high quality of the intron−exon structure in the annotation; second, the high quality of the intron−exon structure in our 454-alignments; and third, although we have used the annotation here to check our results, we would not have needed to do so because our annotation-independent mapping approach finds, in large parts, the same gene structures.
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A comprehensive list of RNA-Seq mapping approaches can be found in [ 82].
If QTL regions of resistance are found using a genetic mapping approach, the same BAC pooling and sequencing approaches could be used once again.
We examine the success rates of the mapping approach for capturing different types of disturbance and find that 82% of stand clearing events were detected.
This separate mapping approach was implemented to ensure that the aligner found all homoeologous genes in each dataset.
We find that the models produced from a choropleth mapping approach with spatial variables using Euclidian and functional distance surfaces are the best of the ten models.
For BACs which could not be found using NCBI clone registry or UCSF array annotations, we attempted a surrogate-based mapping approach.
It was found that downscaling that incorporates observational data was marginally better if not comparable to using a point-based digital soil mapping approach.
Admixture mapping is a powerful gene mapping approach [ 5, 28].
Interestingly, the detection of the negative interactions by the E-MAP approach alone was found sub-optimal (Table 4).
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