Trees were visualized in FigTree (available: http://tree.bio.ed.ac.uk/software/figtree/) Near full-length 16S rRNA sequences for Sulfobacillus species were generated using EMIRGE an iterative template-guided assembler that probabilistically generates 16S rRNA gene sequences using a 16S rRNA database [ 21].
Progress in protein structure prediction is the topic of the update from Yang Zhang and Jeffrey Skolnick, whose method of iterative template-based modeling, I-TASSER, published in 2007, continues to prove useful in refining the accuracy of structure predictions [ 6].
The obtained cortical surfaces were nonlinearly aligned to a hemisphere-unbiased iterative surface template [ 40] using a depth-potential function [ 41] for accurate cross-subject correspondences.
Information regarding the outcome of the iterative process for templates construction is shown in Supplemental Fig. 1, which illustrates the change in age-specific template fits with each successive iteration.
This iterative process of amending the template and recoding the template continued until the authors were confident that the template allowed as full a description of the data as was achievable.
Functional images were realigned to the first image, sinc-interpolated to correct for differences in slice acquisition time, and normalized to the Montreal Neurological Institute (MNI) template using iterative segmentation.
White matter tract of interest analysis was performed using DTI-TK to create a study-specific template using iterative tensor-based registration, which takes into account local fibre orientation (Zhang et al., 2006; Keihaninejad et al., 2012 a ).
Functional images were realigned to the first image, sinc-interpolated to correct for differences in slice acquisition time, normalized to the Montreal Neurological Institute MNII) template using iterative segmentation, and denoised with a wavelet-based approach (Khullar et al., 2011).
Given a vast search space of training templates, an iterative algorithm is used to synthesize a filter with an optimized performance in terms of several competing criteria.
