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Pharmacological modulators of host-microbial interactions can in principle be identified using high-content screens.
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For example, the content resource "CSS" can be identified using the URN "urn:object CSS".
Thirteen key constructs of trust were identified using content analysis.
Common themes were identified using content analysis.
Orthologous gene content was identified using blastp to identify reciprocal-best-hits in pair wise inferred proteome comparisons.
The QTLs underlying the isoflavone content were identified using the ICIMapping v3.3 software [ 55].
GC content was identified using the 'geecee' program from EMBOSS package [ 44].
Differences in G+C contents were identified using the Mann–Whitney U‐test.
GC content of nucleotide sequences was identified using BioEdit.
MAP3K7 was identified using GO.
The nanoparticle uptake was analysed quantitatively using high-content analysis.
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