Sentence examples for generate mismatch from inspiring English sources

Exact(3)

Mismatch (MM) score: Loci of low complexity were used to generate mismatch ranking (see Material and Methods under Fidelity section).

b Induced nucleotide mismatches to generate mismatch "bubbles" in 1 × 1, 2 × 1, and 2 × 2 oligonucleotides that differ from the template sequence are indicated by being underlined.

In the gene genealogy, we thus see that if one population expands during two separate periods, we can expect to observe two collecting phases, which will generate mismatch distributions similar to those observed in the dataset.

Similar(57)

Both programs were configured to allow up two mismatches (SNPs can generate mismatches in the alignment, especially in these cases because the sequences are from different species), discard sequences with ambiguities (Ns) and return all optimal alignments.

Both programs were configured to allow up two mismatches (because SNPs can generate mismatches in the alignments, especially in cases such as the present analysis, where the sequences come from different species), discard sequences with ambiguities (Ns) and return only reads with unique alignments.

The Illumina reads were aligned against the data set (public and de novo) using the program SOAP2 [ 76], configured to allow up to two mismatches (SNPs can generate mismatches in the alignment, especially in our cases where the sequences originate from a hybrid), discard sequences with "N"s and return all optimal alignments.

Furthermore, the Dice coefficient puts more weight on joint occurrences than on disparities, somewhat compensating for the higher probability of a limited number of randomly distributed peaks within a matrix containing a majority of empty cells (i.e. containing zeros) to generate mismatches than to display common occurrences between any two spectra.

The model assumes that the generated mismatch strain is accommodated simultaneously by the plastic flow of the material.

We generated mismatch (MM) probes, derived from a selection of perfect match (PM) target probe sequences, in order to test the ability of probes designed against gene family members from one organism to detect orthologs with non-identical sequences from other organisms.

We generated mismatch distributions by computing distribution of the number of pairwise differences between mtDNA haplotypes using Arlequin version 3.5 software package [ 37].

We suggest that both adaptation (Jääskeläinen et al. 2004) and stimulus off-responses play in important role in generating mismatch signals.

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