Another limitation of this study is the fact that different samples were taken in some of the patients i.e. oropharyngeal instead of nasopharyngeal swab) and this could influence the yields of coronavirus (as well as other respiratory viruses).
A second limitation of previous approaches is that they ignore the fact that different samples have different background mutation rates.
Further, the data derived from these distributions of sampling effort in the deep sea, even in relatively heavily sampled areas, are limited by the fact that different sampling methods were used in different areas and that the long history of collecting has occurred in bursts of activity in different places at different times.
The model also deals with the fact that different polls have different sample sizes, and so not all polls contribute equally to the model's estimates.
In fact, with the exception of P. lutea, which was isolated from nematodes of two different sampling areas, all the other isolated Pseudomonas species were different from area to area.
This may be due to the fact that those studies were conducted on different sample populations.
Interpretation of these data is confounded by the fact that there is generally little overlap between the data reported by different groups, using different analytical platforms, different sample cohorts, and different analytical pipelines.
This fact becomes evident when the different sampling times are considered.
In fact, in different patient samples the transcription pattern of distinct vir can switch from ring to schizont stage or vice versa [24].
In fact, tissue of origin is the primary difference in DNA methylation profiles from different samples, regardless of whether they originate from the same or different individuals (Davies et al., 2012; Ziller et al., 2013; Jiang et al., 2015).
