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Comparisons of the different methods of candidate reference gene selection tend to identify the best and the worst reference genes consistently [ 24- 26] when evaluating reference genes whose functions are well defined.
Although contemporary publications still fail to use appropriate reference gene(s), since the publication of the MIQE guidelines there has been an escalation in the number of publications directly evaluating reference gene validation [ 66, 72– 72].
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Four evaluation batches were run with each of the three commercial kits to evaluate reference standard linearity, and QC accuracy and precision.
But these effects may only appear when providing a research-based and empirically evaluated reference model that is profoundly documented.
The aim of this study was to identify and evaluate reference genes for use in real-time quantitative RT-PCR for abiotic stress studies in L. temulentum.
In order to evaluate reference gene stability among samples, Ct values of 14 housekeeping genes were imported into GeNorm v.3.4 [11].
We further evaluated reference gene selection over the entire course of differentiation (0 10 days post-MDI) where 18S was again the only reference control examined that fluctuated clearly within our ΔCT ≤ +/−0.5 range of suitability (Fig. 4A).
In order to evaluate reference gene stability among samples, three statistical approaches were incorporated.
We evaluated reference RNA samples hybridized to only the U133 Plus arrays.
To evaluate reference frames, responses must be examined with the eye at different positions relative to the simulated heading.
Applying classically evaluated reference intervals for assessment of vitamin B12 deficiency can thus be regarded as very specific and relatively insensitive.
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