Sentence examples for microbial sequence databases from inspiring English sources

As expected, analysis with the environmental virus and eukaryotic microbial sequence databases produced either zero or very small numbers of cross-hybridizing hits (fewer than 10).

The most likely explanation for obtaining so few BLAST hits may be that current microbial sequence databases simply do not (yet) contain sequences from the actual donor species or from species closely related to these donors.

Annotation of products was performed manually using evidence gathered from BLASTP searches against a microbial sequence database devoid of SA genome sequences in order to prevent bias [72].

The information regarding genome sizes etc. in these cases have been obtained from the NCBI microbial sequence database.

The software can support a large-scale search of probe hits against a comprehensive microbial sequence database.

All significant hits for these proteins are observed from the following Bacteroidales species, for which sequence information is available in the NCBI or TIGR microbial sequence database.

We also aligned the M1-P-M2 region of KcsA with the ten bacterial sequences in the microbial sequence database that were most similar to KcsA to produce a KcsA-like family.

CAMERA currently serves as a repository for approximately 80 microbial sequencing databases, including (i) metagenome data for oceans, lakes, rivers, hot springs and soils (i.e. [47], [48]); (ii) human and animal microbiome sequencing data; and (iii) fully and partially sequenced microbial genomes deposited at the National Center for Biotechnology Information (NCBI).

Considering the bias towards pathogenic species in current microbial DNA sequence databases, this may suggest that many indoor air microbes originate from human-associated habitats.

Reads that remain after filtering can then be directly compared to microbial reference sequence databases or assembled de novo into larger clusters of contiguous sequence reads (contigs), which are then compared to reference sequence databases.

To facilitate the application of EOPM in multiple surveillance sites for infectious diseases, we designed software with a user-friendly interface, which is supported by a statistical analysis method based on a comprehensive microbial sequence identification database.