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The linearised estimates of resolution and covariance of radial seismic velocity perturbations can be computed for a particular seismic network geometry.
In previous estimates of resolution, relatively small (low) objects have been examined of height ≤1 ri.
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However, a final estimate of resolution success awaits detailed taxonomic analysis of 48 species where patterns of barcode variation suggest cases of cryptic species, unrecognized synonymy as well as young species.
Further, the mask used for resolution measurement (which can indeed promote an over-estimate of resolution) was cautious: a sphere with a five-pixel Gaussian fall off.
This is a genomic average estimate of resolution, which will vary empirically according to the recombinational properties of different regions of the genome.
We present estimates of spectral resolution power for under-resolved turbulent Euler flows obtained with high-order discontinuous Galerkin (DG) methods.
Selectivity shifts observed between omeprazole and the related impurities when changing the flow rate could also be accurately predicted resulting in good estimates of the resolution between critical peak pairs.
A dynamic, resolution-dependent, per-volume thresholding method was recently introduced (Galaz-Montoya et al. 2016a), which produces much more robust identification of the missing wedge than the use of a single threshold value, and better alignment results than adaptive low-pass filtering using estimates of the resolution (Hrabe et al. 2012) or FSC curves directly (Galaz-Montoya et al. 2015).
To examine any potential bias in the estimates of total resolution due to missing data we repeated the analyses, excluding any samples that had data missing from any one of the regions of a multi-region set.
Using estimates of the resolution parameters above, we can compute the theoretical proportion of markers that can be assigned distinct positions in RH maps (Additional file 7), using three assumptions: (i) the RH order is the true order (ii) markers are evenly spaced on the genome and (iii) RH vectors have no missing data or genotyping errors.
These findings, and the fact that several MT-CO2 intraspecific distance estimates were higher than interspecific estimates, and lack of resolution between A. azarae and A. infulatus, indicated that MT-CO2 was the least reliable marker for analyzing Aotus phylogeny.
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