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A robust alignment of each new view is estimated with respect to the previously aligned data through fast extraction, representation and matching of feature points detected in overlapping areas from different views.
We designed a robust alignment procedure based on a mixed structural and sequence multiple alignment of manually delineated ACD regions.
The microsatellites were not included in the analysis because variations in copy number precluded a robust alignment.
In our analyses, the Tip group did not appear to be monophyletic, which reflects how difficult it is to generate a robust alignment from highly variable sequences.
In silico analysis of the C. elegans genome identified 33 putative globin genes in this species using a robust alignment procedure based on conserved structural features of the classical globin fold.
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Exclusion of the 13 non-mycobacterial sequences produced a much more robust alignment.
Then, they used robust alignment algorithm to choose the best subset of matched points against incorrect matches and multiple matches.
Therefore, problem (1) is quite general, and in fact problems like (1) come from diverse applications, such as the latent variable graphical model selection [2], the sparse inverse covariance selection [3], stable principal component pursuit with nonnegative constraint [4], and robust alignment for linearly correlated images [5], etc.
Protein sequences were modeled using the I-TASSER server, using robust alignment procedures followed by simulation and refinement of subsequent models [46].
The shorter ones were added to the robust alignment using MAFFT FFT strategy with the '–addfragments' option that conserves the original alignment.
Species-specific primers were designed to fall in regions of robust alignment between all members of each group so that tests of tissue-specific patterns of expression were inclusive of all transcripts and were therefore conservative.
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