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However, environmental clone-library surveys yield only a modest number of sequences with which to evaluate the diversity of abyssal eukaryotes.
While single-protein investigations (e.g. building a small phylogeny or finding conserved sites) require only a modest number of sequences, determining the strength and significance of residue-residue couplings requires many more sequences, with a computational lower limit of 125 150 sequences [2].
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These results show that phenotype sequencing will work well with a modest number of sequenced strains, even under our most challenging assumptions, for a range of typical target sizes.
Moreover, a modest number of Sulfolobales sequences were observed in JCHS at a pH of 6.1.
WCR is one of the most significant agricultural pests in North American, yet at the time of publication WCR has a modest number of nucleotide sequences are available in GenBank.
Pea expressed sequence tag (EST) sequences (http://www.ncbi.nlm.nih.gov/dbEST/dbEST_summary.html) are valuable tools for developing breeder-friendly markers from coding regions of genes and have been used in the past to develop a modest number of simple sequence repeat (SSR) markers in pea (Xu et al., 2012; Mishra et al., 2012; DeCaire et al., 2012; Zhuang et al., 2013).
Considering the modest number of small RNA clones we sequenced during this study and the specific developmental stage of our total RNA source, we suspect that a number of novel miRNAs still await to be discovered in mosquitoes.
The honeybee gut microbiota has been described as consisting of a modest number of phylotypes; however, the genomes sequenced in the current study demonstrated a very high level of gene content diversity within all three described phylotypes of lactobacilli and bifidobacteria, particularly in terms of metabolic functions and surface structures, where many features were strain-specific.
In addition to direct applications to human disease, exome sequencing of a modest number of individuals can reveal important aspects of human evolution [ 10- 12].
These results show that Algorithm 2 GreedyWeight can be used to identify genes in driver pathways on data from cancer sequencing studies containing a modest number of patients.
Finally, we show that the greedy algorithm can find driver genes and driver pathways in real cancer sequencing data containing a modest number of patients.
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