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However, microbial data in seawater drowning are scarce.
However, to the best of our knowledge, microbial data in seawater drowning-associated pneumonia are very scarce and generally gathered from cases reports [7 10] or reviews of cases from warm seas [3] but none from temperate Mediterranean zones.
This could include generation of quantitative microbial data in the environment (including nonculturable microorganisms), information on the presence and transport of anti biotic resistance genes, and data on occurrence of algal blooms and associate toxins.
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It is a simultaneous global mega-sequencing campaign aiming to generate the largest standardized microbial data set in a single day.
Comparisons of the microbial data are presented in Table 2.
EEEP was also used to infer pathways of LGT by comparing a set of 22 432 protein test trees derived from the microbial data set described in Beiko et al. [ 9], to a reference supertree constructed using the MRP algorithm [ 26] and rooted to follow the (by no means universally accepted) paradigm of Bacteria and Archaea as separate, monophyletic domains [ 27- 29].
As outlined above, microbial data may be as powerful as genetic information in calculating predispositions to disease.
Due to the sensitive nature of microbial data (both clinical and genetic), risks arising in microbial research may lead to negative consequences for participants regarding privacy breaches.
In human microbial research, these issues "becomes more complicated as the validity, reliability, relevance, and clinical significance of human microbial data are largely uncertain" (Ma et al., 2017).
The database, dubbed Combase, pulls together microbial growth data in various environments taking note of temperature, pH, and water activity and alerting users to predicted contamination levels during the meat packaging process.
To obtain microbial growth data in a closed environment we monitored the growth of the fungus Fusarium oxysporum in minimal media.
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