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Whole-genome sequencing was performed on the Illumina HiSeq2000 using previously described protocols for bacterial library preparation and bioinformatics processing [ 14] in which SNVs in mapped nonrepetitive sites were identified by mapping to a CC30-specific reference (MRSA252 [ 21]).

Lexical mapping increased the result to 60.31% and post-coordination mapping gave an increase of 20.27% in mapped terms.

This increase in mapped markers is likely to facilitate fine mapping of these QTLs in further studies.

To facilitate molecular breeding studies of fruit quality traits in apple, we aim to construct a high density map which was efficient for QTL mapping and possible to search for candidate genes directly in mapped QTLs regions.

An average of 97.3% of the reference was mapped with a mean depth of 53.3-fold in mapped regions across all isolates (Supplementary Table 1).

After trimming 108 bp from the ends of each contig, where a reduction in mapped read coverage would be expected, the median coverage of mapped reads was 19× (mean = 18.94×; SD = 10.42).

The BOLD response of the visual cortex was studied in more detail via the individual retinotopic mapping of voxels responding to our target stimuli in mapped ventral V1 V3.

An average of 91.7% of each strain was mapped using SMALT with a mean depth of 118.6-fold 118.6-foldn mapped regions acoveragel inolates, as previously described (14).

Despite the increase in mapped scaffolds and marker clusters, the recombination size of the new map totals 435.9 cM, similar to the 446.9 cM of the Niehuis et al. (2010) map.

Any bias in the number of clones in mapped contigs was not observed across deletion bins, unlike the 1BS physical map where telomeric contigs appeared to contain fewer clones than centromeric contigs on average [ 18], though the cumulative length of the contigs were generally smaller in the most distal bin.

Using a relatively simple vegetation mapping example and two common classifiers (maximum likelihood and random forest), we compare variance in mapped area estimates and accuracy assessment metrics (overall accuracy, kappa, user, producer, entropy, purity, quantity/allocation disagreement).

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