Sentence examples for using the blast algorithm from inspiring English sources

Species identification was determined by comparing with sequences in GenBank using the BLAST algorithm (see Supplementary Table S1) and by building a maximum likelihood phylogenetic tree performed using PHYML 3.0 (ref. 35).

Nucleotide sequences were compared to the DDBJ/EMBL/GenBank databases using the BLAST algorithm (http://www.ncbi.nlm.nih.gov/blast/Blast.cgi).nih.gov/blast/Blast.cgi

The resulting sequences were subsequently compared with deposited sequence information using the BLAST algorithm (http://blast.ncbi.nlm.nih.gov/Blast.cgi/ and http://www.ezbiocloud.net/ )).net/

A homology search for the most nearest sequences was performed using the BLAST algorithm on the GenBank/EMBL/DDBJ/PDB.

The resulting sequences were compared to known sequences using the BLAST algorithm in NCBI.

The predicted open reading frames and their products were analyzed using the BLAST algorithm [59] and manually annotated.

Using the BLAST algorithm, the obtained sequences were aligned to the mouse genome to identify the integration sites.

Sequences of contigs containing NE-specific genes were further analysed using the BLAST algorithm [27] to confirm uniqueness to the NE strains.

Searches using the BLAST algorithm with an expect (E) value of 10−40 requires an overlap of approximately 100 bp (O).

The putative OppA proteins of M. tuberculosis and M. smegmatis are 68% identical (as analyzed using the BLAST algorithm) [26] (Fig. S1).

Alignment of fully complementary sequences, those with one mismatch or two mismatches, was performed using the BLAST algorithm to identify conserved miRNA orthologs.