Sentence examples for using the sequence sets from inspiring English sources

The 1R method was applied to each algorithm using the sequence sets described above (80 positives plus 185 negatives), with bin size set to the smallest possible value between 2 and 10 allowing separation into exactly two classes.

For the COG analysis, we constructed a local COG database [ 40] and ran RPSBLAST [ 37] using the sequence sets described above as queries with an e-value cutoff of 0.001.

In the PBC analysis pipeline, we use the sequence sets (S1, S1+ S1+..., S1+ S n ) as the input, where S1 is the original input sequence set and S2,..., S n are different additional sequences.

Then for each array TAR, we compute the FPR, now using the sequencing based set of positive and negative regions. Figure 8 shows that the ROC curve is improved with regard to both sensitivity and FPR.

D.R. Zeigler determined that the sequence identity of bacterial genomes can be predicted accurately using the sequence identities of a corresponding set of genes that meet certain criteria [32].

The distribution of Jaccard indices for all possible pairs of mice is shown in Figure 2. We carried out these analyses both by using the complete sequence sets for each mouse, and also by subsampling equal numbers of sequences from each mouse, so as to avoid any bias imposed by sample size.

Figures 6 a-b) and 7 (a-c) plots the top classifications obtained using each of the thirteen untrained sub-sets of 3335 exon sequences and 3335 intron sequences of the short sequence group I. Figure 6 a-b top) displand a total of 13 × 4 precision values obtained using the thirteen sequence sets in thirteen combined columns with each combined column consists of four sub-columns of precision values.

Another new function, "Unique Probe in the user-defined genome/ transcriptome," selects probes for target sequences using the genome/transcriptome sequence set (in FASTA format) as the background reference uploaded with the probe designing query.

The accuracy of the resulting trees was measured by comparing them with the original trees used to generate the sequence sets, and measuring the Robinson Foulds distance (Robinson and Foulds, 1981).

To identify P450 probe sets on the Affymetrix soybean array (Part #900526), we performed BLASTN searches using the sequences of each probe set against the predicted soybean cDNAs at the TIGR gene index and Phytozome 4.0 genomic sequences.

Recently, several reports claimed that Affymetrix annotation is not ideal and that using the sequences to reannotate the probe sets gives better results [ 15- 17].