Sentence examples for hits to the database from inspiring English sources

Sequences with best hits to organisms other than Prochlorococcus, as well as those with no hits to the database, were identified as contaminating sequences.

Among these 10,581 unisequences, 10,221 were annotated as bean genes and 360 were annotated as fungal genes based on best Blast hits to the database These 360 fungal unisequences included 62 singletons and 298 contigs (Table 1).

Any sequence with no hit to the database or with an e-value > 1e-100 and a percent identity < 95%% was considered to be a new cassava transcript.

Each query protein was compared using a reciprocal best BLASTP hit to the database constituted of the four proteomes and classified in one of the 15 possible categories.

Twenty- five percent (14,109) had no significant hit to the database indicating that they represent either rarely expressed soybean specific genes or are technical artifacts of the EST cloning process.

Based on the search results, isogroups (i.e., groups of contigs that correspond to a gene) were then resolved to single best representative coding isotigs/contigs (i.e., mRNA) based on consistency of BLASTX top hits; each isotig/contig has a single, longest best scoring hit to the databases.

FDRs were calculated by dividing the number of decoy hits at this threshold by 10 (to account for the larger decoy database size) and dividing by the number of hits to the target database.

Sequences were removed from further analysis based on BLASTN hits to the rRNA database that met the following criteria: (i) e-value<1e-5, and (ii) alignment length ≥40% of the sequence length.

The presence of miRNA genes was then detected by BLASTing positive hits to the Rfam database.

HPs were considered as those with no hits to the COG database.

There were 1,349 hits to the nr database that were better than 1e-10.