A data logger (HOBO U30, Onset, Massachusetts, USA) connected to a temperature probe (S-TMB-M006, Onset) at a depth of 10 cm and a soil water content probe (S-SMx-M005, Onset) covering a depth of 0 20 cm were used at each stand.
Considering possible capacitive, sp2 phase, and spatially related contributions to charging, we employ films with sub-100 nm thickness, and about 60% relative sp2 content, probe their material uniformity, and repeat experiments at various positions across the films to induce as much potential contrast as needed for the self-assembly.
Considering possible capacitive, sp2 phase and spatial uniformity factors to charging, we employ films with sub-100 nm thickness and about 60% relative sp2 phase content, probe the spatial material uniformity by Raman and electron microscopy, and repeat experiments at various positions.
This group found that probe uniqueness, SNP content, probe length, Tm, and guanine homopolymers all influenced probe performance[24].
We used as predictor variables several sequence-derived probe characteristics, including Tm, probe length, probe GC content, probe purine content, and the presence of a known SNP in the probe.
Furthermore, coverage is influenced by array design, including probe sequence (melting temperature, GC content), probe density and spacing (Supplementary Table 1).
These high-GC-content probes are therefore likely from the var genes.
For the same G-content, probes with G-stretches produced lower peak intensities than probes with C-stretches or without any stretches of Gs or Cs.
We also observed that variants that could be correctly identified were associated with lower GC-content probes as compared to those that were missed (Additional file 1).
The effect of this noise was not uniform over all probes, with low GC-content probes found to be more vulnerable to batch variation than probes with a higher GC-content.
Such spurious results can easily be obtained with microarray technology because the GC content of probes and probe set design, which highly influence the background unspecific level of the measure, remain the same among samples.
