Sentence examples for between two sequences with from inspiring English sources

Such alignment-free compositional analyses focus on the similarity between two sequences with respect to their relative dinucleotide frequencies.

This can even lead to negative distance values if the number N of matches between two sequences with repeats exceeds the expected number of matches between a non-repetitive sequence of the same length to itself.

This method must be able to detect numerous genetically altered variants in the pool of progenitor viruses as well as it must be able to distinguish between two sequences with only single nucleotide mismatch.

It can rely on different divergence metrics, such as the synonymous substitution rates (dS or Ks), to test the consistency of the number of synonymous differences accumulated between two sequences with the divergence time between the two species.

GRIMM uses the algorithm of Hannenhalli and Pevzner (1999) and we know that it is an accurate way of getting the minimum number of inversions between two sequences with different marker orders.

The number of base pairs available for comparison and the number that differed between two sequences were computed, together with the percentage identity between all gene segments within each strain pair, hence we computed the Hamming distance between each strain pair.

We used the expectation value 1.0 × 10− as a cutoff and maintained at least 75% sequence similarity between the two sequences with a minimum alignment overlap 80%.

Therefore, variation between any two sequences with a p value less than 0.01 was predicted to be the result of allelic variation or sequence error.

Since no significant difference was found between the two sequences with regard to the suppression of either Bax protein level or apoptosis, the results were pooled, and in later experiments only AS 1 was used.

By using NCBI BLASTP program (version 2.2.17) [ 32, 33], orthologs for the S. cerevisiae and S. paradoxus proteins were identified by aligning the amino acid sequences of the proteins from S. cerevisiae with those of S. paradoxus fixing the expectation value cut-off at 1.00 × 10-5, atd at least 75% sequence similarity between the two sequences with a minimum alignment overlap of 80%.

For small evolutionary distances, the Jensen-Shannon distance grows therefore roughly linearly with the distance between two sequences, and this explains why it is possible to produce reasonable phylogenies based on this metric.