Sentence examples for minimum expectation value from inspiring English sources

BLAST analysis returned AY289929 A/New Caledonia/20/99 (H1N1) as the most similar sequence record from alignment-based search across the entire GenBank, with the limit (minimum) expectation value of 0.0 (or E-value = 1.0e-180).

Blast-p search of identified protein sequences was performed against the NCBI non-redundant database with a minimum expectation value of 1×10−3.

Finally, contigs shorter than 200 bases and any sequence with no best hit for a plant but for a different organism were removed from the assembly using BLAST 2.2.20 software with a minimum expectation value of 1e−5.

The initial BLASTX search was performed against the NCBI database of nonredundant sequences using a minimum expectation value of 1 × 10− and a high scoring segment pair cut-off of 33.

The position of the great tit SNPs on the zebra finch, chicken and green anole lizard genomes was predicted based on the alignment of 23 to 150 bases of flanking sequence to the respective genome sequence using the default parameters in blastn (with setting a minimum expectation value (e-value) of 10−5).

The maximum expectation value was set to 10-5, the minimum alignment length was set to 50 bases, and the minimum percentage identity was set to 50%.

The coding sequences of the predicted transcripts were annotated using BLASTP searches against the GenBank Reference Proteins database [ 41], with an expectation value (e-value) cut-off of 10−4, minimum similarity of at least 60%%, and minimum alignment length of 33 amino acids.

The rotation age of the normal forest is set to an optimal rotation age based on the soil expectation value of the stands under the minimum subsidy rates.

We evaluated all three algorithms and found no significant difference in the number of orthologous gene clusters predicted by them, so we adopted OrthoMCL algorithm for this study with option -E (expectation value for BLAST alignments) set at 1 e-05 and option -C (minimum percentage of coverage required to call two sequences best hits) set at 75%.

In this approach, the conversion function is interpreted as the expectation value of the target spectral envelope, and the conversion parameters are evaluated using minimum mean-square error (MMSE) on a parallel training set.

Of 57 boards surveyed, just 33 met the minimum expectation.