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We therefore processed all targets using the "Protein preparation wizard" from the Schrödinger suite (http://www.schrodinger.com) combined to the visual inspection of each target.
We, therefore, processed the dynamic data obtained from the phantom to obtain a homogeneous background for all holes of the phantom in the following way: After the dynamic acquisition of the data, we identified the six rows of the phantom in the image.
We therefore processed the SHG data using 13 x 13 µm ROIs that are larger than the corneal movements and small enough compared to the typical lamellae width.
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We therefore process the histogram from the FLAIR image intensities of all voxels that are classified as GM, to estimate the mean and standard deviation of true GM voxels.
We therefore post-process the ML trees by collapsing all nodes of common sequence (both observed haplotypes and inferred Steiner nodes) and relinking the resulting non-redundant node set into a minimum-cost spanning tree.
Therefore, we processed AF and tested its effects on diabetes-impaired wound healing in an animal model.
Therefore we processed the two populations with the computationally more efficient algorithms PennCNV and Birdseye.
Our interest was objective certainty of individual judgment therefore we processed the data individually.
Therefore we processed three DNA samples with verified large-scale structural variations using the Affymetrix SNP Chip 6.0.
Therefore, we processed the atoms in parallel and mapped them onto a GPU.
Therefore, we processed at least three replicate 10,000 cell reactions for each sonication cycle number tested, and pooled the reactions prior to the DNA recovery steps.
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