Sentence examples for ranking database from inspiring English sources

Ranking database sequences using a simple feature vector distance [e.g. USEARCH (Edgar, 2010 ); this work].

The data set used for analysis is based on information from the European Swimming Federation LENN) rankings database and the results and ranking database from the Belgium, Canadian, Dutch, Faroe, Polish, Portuguese, Slovakian and Swiss Swimming Federation [ 21].

The enrichment factor reflects the amount of known related structures in the first x % of the ranked database.

In our study, we use the top 1%, 5% and 10% fractions of the ranked database to calculate the EF values.

Topolsky says that the impetus for This Is My Next was to improve on the aggregated review model of sites like CNET, which have long relied on a numerically ranked database to provide buying recommendations.

where E F is given for the specified percentage of the ranked database, Na c t i v e is the number of active compounds in the selected subset of the ranked database, N is the number of compounds in the subset, N a c t i v e is the number of active molecules in the data set and N a l l is the number of compounds in the database.

In spite of this, the reverse pharmacophore mapping approach, therefore, enables 11 of 16 experimentally confirmed tamoxifen targets to be retrieved within 10% of the ranked database, which is promising and reliable for a retrospective target identification case.

They compared the performance of USR to the EigenSpectrum Shape Fingerprints (EShape3D) in the Molecular Operating Environment (MOE) [21] by visualising the shapes of the top few hits in the ranked database and found that similar shapes were retrieved for both methods.

The assessment has been based on two of the most important criteria for the evaluation of docking methods, i.e., the ability of known ligands to enrich the top positions of a ranked database with respect to molecular decoys, and the consistency of the docking poses with crystallographic binding modes.

DB-Engine Ranking [34] ranks database systems according to their popularity by using parameters such as the number of mentions on Web sites, general interest according to Google Trends, frequency of technical discussions on the Web, number of job offers, and number of professional profiles in which the solutions are mentioned.

For duplicate entries, we generally kept the sequence from the highest ranked database, and if there was more that one from this database we kept the latest version of the sequence.