To rule this out would require high-depth analysis of samples taken from multiple sites within the surgical specimen.
NGS offers methodological advantages such as increased throughput, decreased RNA input, consistency and quality of data, higher detection depth, analysis of all RNA populations, and discovery of novel molecules.
Three genes were selected for more in depth analysis: a high affinity nitrate transporter (MdNRT2.4), a mitochondrial outer membrane translocase (MdTOM7.1), and a gene encoding an NPR1 homolog (MpNPR1-2).
More in depth analysis of high-resolution (1-second) GPS data should help in validating one or both hypotheses.
The ability to systematically screen large numbers of human 3′UTRs allowed in depth analysis of high-confidence target genes regulated by different miRNAs, and may reveal novel mechanisms that miRNAs use to regulate biological processes.
For example, current sequence read depth analysis methods have high false discovery rates (<10 89%), relatively low detection rates (30 60%) and are crucially dependent on the quality of read alignment to the reference genome (Abyzov et al., 2011; Mills et al., 2011; Teo et al., 2012).
In this study, we used high-depth NGS analysis to demonstrate that the Tongil genome is composed of 91.8% indica, 7.9% japonica, and 0.3% unknown genome.
Time-series data from WC and Lotek tags allowed for three temperature and depth analysis: an overall, a high-use area specific and a water-mass specific.
In alternative cases, it may reflect the high depth of sequencing used for these transcriptomes; when this analysis was begun, no other dinoflagellate transcriptomes had been sequenced to similar depth.
We obtained a comprehensive floral transcriptome with high depth and coverage close to saturation analyzed using rarefaction analysis a method well known in biodiversity studies.
