Sentence examples for using a word size from inspiring English sources

BLAST was completed using a word size of 30 and the alignment results filtered to require 90% sequence overlap.

The pair-wise distances were computed using a word size k = 4, since this k value generally gives the best performance based on our experiments (see section 3.1 and also Figure S1).

All assemblies were generated using a word size of 64 and a bubble size of 244.

A small improvement in sensitivity over searches was observed when using a word size of 8 instead of 9.

Genomic sequences were assembled de novo using a word size of 32 and a bubble size of 80, as recommended for the assembly of large genomes (White paper on de novo assembly in CLC Assembly Cell 4.0, CLCBio, Aarhus, Denmark).

In contrast to the full length BESs, where a word size of 8 was slightly better than 11, the improvement in using a word size of 8 over a word size of 11 was far greater for medium length sequences, especially once the score cut off was applied.

We requested an XML output with up to 30 hits, used a word size option of 7 and applied no filer in order to obtain the highest sensitivity.

We used a word size of 7 nucleotides and a percent identity of 70%.

MegaBLAST's parameters were relaxed to use a word size of 16 and to omit low-complexity filtering, but an alignment was still required to have a score of at least 100 to be considered a significant match.

We used the sequences of known miRNAs (vide supra) and pre-miRNAs in the reference set as query sequences for BLAST searches against the B. mori genome; we used a word size of seven and an E-value cutoff of ten.

Since our query sequences were short 100 bp reads, we used a word size of 11, set the BLAST e-value to 100 according to MEGAN's "how to use BLAST" tutorial [ 36], and accepted the best three hits for further analysis.