Cultivars Atlas, Kitakei1354, Scout, and Thatcher had much less homoeologous sequence variation than cultivar differences (Supplementary Fig. S1).
However, the most striking difference from the DH_A2/WB_A1 comparison is that there is much less DNA sequence relatedness between WB_A1 and GS_B than between WB_A1 and DH_A2, as demonstrated by the areas of white comprising approximately the top 30% of the LCBs, corresponding to a sequence identity of only about 70% across all of the LCBs.
However, since most available sequences for this region are from cultured isolates, which are much less heterogeneous, sequencing of more clinical specimens is needed.
Furthermore, our unigene data have much less redundancy sequences than that of EST data.
The trophosome library yielded much less identifiable sequences (Table 4).
However, for marine bacteria there are much less genomes sequenced and even less have been manually curated.
In gene promoter analysis the input set is much less cleaner, the sequence set is much smaller (and thus the different sites in the sequences can be very different from one another) and the sequences are longer.
It is now much less expensive to sequence DNA, which has led to new methods of evaluating animals using large segments of 30,000 50,000 bases.
In contrast, the SrtA enzymes from S. aureus and S. pyogenes (SaSrtA and SpySrtA, PDB codes 1T2P and 3FN5) [32], [32], match much less well, with sequence identity <20% and rmsds of 2.16 Å (108 Cα) and 2.03 Å (116 Cα) respectively.
