Sentence examples for matches were extracted from inspiring English sources

Peptide matches were extracted from the normal and reverse databases.

The accession numbers and E values of the best matches were extracted from the result file.

Of these 47 models, the 35 best matches were extracted based on sequence identity (identity > 45%).

The accession numbers and E-value of the best matches were extracted from the result files.

Genomic regions from all significant matches were extracted and gene prediction analysis was performed using Genscan.

Sequences producing significant matches were extracted, and scanned against the entire Pfam profile database.

Sequences without a BLAST match were extracted and searched against both NT and the CA Illumina assembly.

The coordinates of each BLASTN match were extracted using our customized Perl scripts, which utilized some modules of the BioPerl toolkit [ 85], and aligned with ClustalW [ 86] with default parameters.

The points, which are used in stereo matching, are extracted using the Harris corner detector and the bi-directional area-based stereo matching algorithm with sub-pixel accuracy is used to get more reliable result.

Each different contig that presented a match was extracted for each gene.

The DNA corresponding to each best match was extracted and its translation was validated as aligning well with its human query.