Sentence examples for matched sequences had from inspiring English sources

Based on the annotation results of Nr database, E-value distribution analysis showed that 75.30 and 63.30% of the matched sequences had strong homology with E-value < 1.0E−30 and E-value < 1.0E−45, respectively, and whereas only 24.5% of the matched sequences had high similarity with E-value from 1.0E−30 to 1.0E−5 (Fig. 1b).

The results showed that 3330 12.500 %) of the matched sequences had alignment identities greater than 85%% (Fig.  2a).

Only 2661 (9.99 %) of the matched sequences had an E-value higher than 1.0e-10 1.0e-10848 (55.73 %) of them handan E-value lower than 1484855.73ig.  2b), which indicated high-reliability of the alignment.

The E-value distribution of significant hits revealed that 67.8% of matched sequences had strong homology (smaller than 1.0 e − 50), while the other homologous sequences (32.2%) had E-values in the range of 1.0 E − 50 1.0 E − 6).

The distribution of their e-value scores showed that 26% of matched sequences have scores < 1 × 10-50, while 79% have scores < 1 × 10-10.

Since very high stringency was set for this alignment with strawberry (on average less than 5 mismatches per gene), it is very likely that matched sequences have equivalent functions in the two species.

Closely matching sequences have been detected in stool specimens from patients with gastroenteritis in Japan, which indicates a possible food-to-human transmission link.

Matching sequences have then been related to Unigene clusters on which most of this study was based.

Perfect match sequences having passed the quality control, polynucleotide filter, and size filter (between 18 and 28 nt for sRNA libraries and ≥18 nt for poly-A + libraries) were selected for further analysis with custom made PERL scripts.

For example, multiple related species (for example, human, mouse, and rat) can have a common gene as well as the corresponding promoters in the upstream region of such a gene, although these matched sequences may have minor difference across species.

Note that although matched sequences mostly have different lengths, our training process does not require using an alignment procedure such as DTW, unlike GMM-based methods do.