Sentence examples for major clusters based from inspiring English sources

Probe sets were distributed into nine major clusters, based on similar patterns of signal intensity values, with about 70% distributed among six clusters.

There are about 12 sub-tribes of Adi, categorized under two major clusters based on their dialect, culture, ethno-historical migration and distribution along the Siang river valley.

The gene expression patterns were analyzed by cluster analysis (Fig. 3) and revealed four major clusters based on the intensity of their expression in response to the different TLR ligands.

All species of Shewanella, isolates or environmental clones, fell into two major clusters based on their 16S rDNA sequences (Fig. 1) as well as phenotypic properties of isolates [14].

As shown in Figure 3G, the 48 serum samples (24 Benign, 24 PDAC) used in the analysis were delineated into three major clusters based on the relative levels for the 7 metabolites examined, and these significantly demarcated the two sample classes (Figure 3G, p = 0.00025, one-sided Fisher's exact test).

Their expression patterns were separated into six major clusters based on their gene enrichment values.

Subclades were identified within the major cluster based on maximum parsimony analysis of the coding sequences [see Additional file 5a].

13 different Groups could be identified based on variation among ~1700 nucleotides across the 14.5 Kb cassette, and these Groups could be clustered into three major phylogenetic clusters based on the nucleotide sequences (Additional file 4).

As shown in figure 5, the PlusC OBPs clustered as seven major phylogenetic clusters based on bootstrap cutoff value of 50%, but we further subdivided them into 11 subtypes (mplus1– mplus11).

The haplogroup gave three major distinct clusters based on the SNP variation in promoter and coding regions similar or dissimilar to the soybean reference genome, W82 (Additional file 10).

In a first step, we obtained major gene clusters based on amino acid sequences with CLANS (Cluster Analysis of Sequences; Frickey and Lupas 2004) using a specific cutoff E value for each family (chosen empirically to provide a good number of clusters while minimizing singletons).