Sentence examples for surrogate sequence from inspiring English sources

Without considering how low this sequence occurrence probability is, this surrogate sequence satisfies all the required licensing assumptions.

According to the existing 10 CFR50.46, LBLOCA is one of the most essential design-basis accidents and a deterministic methodology shall be applied to perform LBLOCA analysis based on a so-called surrogate sequence.

After defining our query strategy (e.g., entire surrogate sequence, motifs, etc)., we simultaneously search several public databases using programs such as Blastp, MAST (Motif Alignment and Search Tool) and Patternfind (see Materials and Methods).

A standard method of testing for renewal processes without memory (i.e., Markov, Lévy or Cox processes) is to compare the original sequence to randomly shuffled ("surrogate") sequences.

Unsolved problems include clustering whole genomes where the result is unknown, and is complicated by the presence of multi domain proteins, internal repeats, etc.; the development of regression models using our order parameter values as descriptors; and a surrogate of sequence searching using order values to define similarity measures.

To obtain additional functional data from the shorter reads, a study was initiated to test whether the most significant BlastN EST_other database hit (E-value cut off of e-20) could be used as a surrogate longer sequencing read for the PS26/BC8 transcripts.

The results from this analysis demonstrated that a subsampling via DESIRE was necessary to obtain realistic surrogates of sequencing experiments with a smaller sequencing depth.

For general design basis accidents, such as SBLOCA and LBLOCA, the traditional deterministic safety analysis methodologies are always applied to analyze events based on a so called surrogate or licensing sequence, without considering how low this sequence occurrence probability is.

While in the deterministic methodology, the occurrence probability of the traditional surrogate or licensing sequence is only 5.46 * 10−5.

Its closest surrogate is the sequence similarity measure.

This threshold was chosen such that the MI value would be significant with respect to a surrogate set of sequences (with the same number of sequences as the corresponding class) but with the TM residues randomized.