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This study provides an efficient method of modulating enzymatic pH optima based on statistical sequence analyses, which can facilitate the design and optimization of suitable catalytic parts for the construction of complicated cell-free synthetic biology systems.
DnaSP Version 4.10 [ 27] was applied for the statistical sequence analysis.
POBO is an exceptional tool for statistical sequence significance analysis, but is inhibited by the constraint that it can perform analysis only on one cis-regulatory element at a time.
Supplementing the statistical sequence models with evidence from cross-species sequence conservation proved to be an effective strategy in reducing the number of false positive predictions, while maintaining sensitivity levels.
The identity probability between two species ("species = species") nucleotides with equal evolution duration is thus The statistical sequence evolution model works on probabilistic transition from the ancestor nucleotide to species nucleotide.
The pipeline initiates with a probabilistic search for gapless repeats and in an iterative process refines a statistical sequence consensus profile (hidden Markov model) of the smallest possible single repeat unit.
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We also introduced and studied some other continuities involving I-quasi-Cauchy sequences, statistical sequences, and convergent sequences of points in R. The present work also contains a generalization of results of the paper [1], and some results in [2] and [4].
Raw and statistical sequencing data were summarized according to the assembly output.
Due to the low divergence of rDNA sequences, we estimated a statistical parsimony sequence type network [ 79] using the program TCS 1.21 [ 80] with the default options.
If x = { x k } is a lacunary statistical bounded sequence, then there exists a bounded sequence y = { y k } and a lacunary statistical null sequence z = { z k } such that x = y + z.
Proposition 2.4 Every statistical convergent sequence is statistically bounded.
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