Sentence examples for database to detect the from inspiring English sources

The paralogous CNS-harboring genes were compared with the entire human genes in the Gene Ontology database to detect the overrepresented paralogous CNS-harboring genes.

Also, cDNA amplicons of HLA genes were extensively sequenced [ 18, 19] and these exon-centric analyses are successful in determining genotypes after consulting with the IMGT/HLA database to detect the closest HLA gene sequence.

RNA from all organisms in a colony was sequenced and compared with sequence databases to detect the presence of pathogens.

We used the Soyseq (http://soybase.org/soyseq/[ 30]) and AtGenExpress (http://www.weigelworld.org/resources/microarray/AtGenExpress[ 85]) databases to detect the expression patterns of GmMYBs and AtMYBs.

(iv) Compare SEM with those of the positive (containing SDJPEG patches) and negative (not containing any SDJPEG patch) samples in the training database to detect whether the subimage has been tampered with.

We used ESJ database to detect all the potential exon skipping events.

We scanned each detected ORF against the Pfam database to detect protein families in the ORFs, and we kept the ORF that was closest to the stop of the cydB locus having significant matches to Pfam families.

We used Censor and the Repbase database to detect repetitive sequences in the obtained Banna caecilian Hox clusters and the corresponding regions in the human, wallaby, chicken, lizard, frog and coelacanth Hox clusters.

In accordance with bin location, a total of 713 SSR markers were chosen from the maize genome database to detect parental polymorphisms,according to the protocol available at http://www.maizegdb.org/documentation/maizemap/ssr_protocols.php, with minor modifications.

We collected each user's location, using GPS and WiFi on the phone, and also recorded each user's daily movement activities and behaviors, by using the phone's sensors: accelerometer, orientation, proximity, audio, and light sensor as shown in Figure 4. We tried to run the mobile sensors at all times and save the data in the mobile database to detect users' walking behaviors in detail.

To evaluate the diagnostic ability of stratus optical coherence tomography (OCT) with a normative database to detect band atrophy (BA) of the optic nerve.