Sentence examples for variations and one from inspiring English sources

Two different pressure distribution cases are studied, i.e. one axisymmetric with only radial variations and one non-axisymmetric.

Thus, for each use case of the experimental study, there was a comprehension test that consisted of two questions about the variations and one question related to the use case behavior.

In addition, synonymous variations and one variation in an intronic sequence were also found.

A comparison of the full-length sequence of the Tsc22d3 locus in Mus musculus and Mus spretus showed five synonymous sequence variations and one missense substitution (107E > Q) at the coding level.

[See Additional file 4 for full data.] In the 90 patients with a TP53 gene variation, 85 patients had only one variation, four patients had two variations, and one patient had three variations.

Based on the claim, [D] and [L] are considered to be in free variation, and one would expect the preference for rounded environments that was found in [L] to also apply to [D].

Three variance terms were included, one for between animal variation, one for between membrane domain variation, and one for within membrane domain variation.

Two analyses, replicated once, were reconstructed; one with a relaxed-clock (log-normal distribution of nucleotide rate variation), and one with a strict clock prior.

As for matching symmetry, the Procrustes ANOVA for object symmetry with complex types of symmetry provides a similar decomposition of the variation into symmetric variation and one or more components of asymmetry.

Given that PINK1 has been found to regulate HTRA2 (Plun-Favreau et al. 2007), we also sequenced the entire PINK1 coding region and intron exon boundaries in 2 probands and 2 non-affected carriers of family Y121 with HTRA2 Pro143Ala variation, and one proband with HTRA2 c.906 +3 G > A substitution.

Another dimension to the problem of reliably discovering sequence variation, and one where there is perhaps a little more clarity, is the impact of different software and algorithm choices used for primary sequence data analysis (e.g. the choice of suitable genome alignment tool, filter parameters for the analysis, coverage thresholds at intended bases).