Sentence examples for database pattern from inspiring English sources

Eighteen spoligotypes did not match any existing database pattern.

The results of DNA fingerprint analysis of sentinel surveillance TB case isolates, including the national DNA fingerprint database pattern designations, were transmitted from the regional laboratories to the sentinel surveillance sites.

The following is the cDNA sequence of a 22 nt of the human 5-lypoxygenase gene template that we used for in vitro dsRNA synthesis: 5'-ttcatgcacatgttccagtctt-3'; no match was found in the Drosophila genome database pattern search analyses.

The hybridisation patterns of all three reference strains complied with two patterns; these had been predicted from the in silico analysis of target region sequences derived from the GenBank™ sequence database: pattern 1 for RSA493 and RSA331, and pattern 2 for Q177, respectively.

The sequences of the sense and antisense DNA oligonucleotides corresponding to the blt gene used for the in vitro transcription reaction are shown in Table 1; only one match was found in the genome database pattern search analyses for each chosen targeted sequence.

Maybe some moviegoers who reject difficult films don't, like the chess master who didn't recognize random positions, have the necessary expertise and database patterns to understand (or stick with) these movies.

The proposed system has been implemented by constructing users' database patterns which are later matched to the biometric patterns entered by each user, thereby enabling the system to accept or reject the user.

In large databases, like the contact database, patterns between variables can be discovered by data mining techniques such as association rules [ 13].

To determine which of our motifs can be considered novel, all regular expressions of found motifs were compared against the Prosite database patterns [ 64].

12 Second, our study provided a database, patterns and causes of CSAEs in the ED, and a data collection process was applied in some reports.

Data Mining and Knowledge Discovery in Databases (KDD) is a rapidly growing area of research and application that builds on techniques and theories from many fields, including statistics, databases, pattern recognition and learning, data visualization, uncertainty modelling, data warehousing and OLAP, optimization, and high performance computing.