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Saliva samples are notoriously variable in terms of composition and viscosity, even within the same donor sample collected over a short period of time, and it is probable that an on-strip dilution of the sample would decrease adverse effects arising from sample variability and viscosity, however this would require controlled sample dilution.
We expected that increasing the ΔCq of interest sample and virtual control sample would decrease the precision of double-ratio drqPCR.
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The number of beads was adjusted for each initial broth temperature, such that the temperature of all samples would decrease instantaneously to 1°C.
Increased heterogeneity among samples would decrease the ability to reject the null hypothesis that gene expression for a particular gene is the same between hybrids and conspecifics.
However, it could be hypothesised that, for example, adherence in the case of a more intense screening schedule with one-sample FIT would decrease compared with less intense screening schedules with two-sample screening.
Sequencing reagent costs per sample would further decrease from 65% (4 barcodes) to 76% (8 barcodes), 80% (12 barcodes), 82% (16 barcodes) and 85% (40 barcodes), in comparison to non-barcoded samples (Table 5).
Chemical fractionation to remove interfering matrices, depletion of high abundance proteins, multiple filtrations steps, protein size fractionations (including gel separations), and selective antibody removal are all examples that would decrease sample complexity in MS experiments, allowing access to lower abundance proteins for DDA experiments.
Residual surface hydroxyls can be excluded as the origin of the emerging bands, because if present such adsorbates would decrease the sample absorption in this energy range rather than increasing it (see Supporting Information).
A straightforward adaptation of the OD method would be to incorporate weights that would decrease the influence on sample-sample comparisons for a given gene if the samples themselves were highly dissimilar.
Also, if the samples are not well distributed across the whole population and only a selected group of animals (usually those with high performances) are sampled then the power of GWAS would decrease due to lower genetic variation available in the selected samples (biased sample).
We note that for sample periods extending after 2000 the number of retained stations would decrease rapidly.
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