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Thus, the strange position of Dichrozona cincta in our analyses is unlikely to be due to sample or sequence mix-up.
Routine genotyping data are informative for the detection of HIV superinfection; however, most cases of non-monophyletic clustering in patient phylogenies arise from sample or sequence mix-up rather than from superinfection, which emphasizes the importance of validation.
In all of these cases, the new sequences clustered together closely with one of the original clusters of the patient, indicating that the original sequence that clustered separately did not come from the patient, but was involved in sample or sequence mix-up.
We conclude that routine genotyping data are useful for the detection of superinfection; however, extensive validation is required to exclude sample or sequence mix-up or contamination, which may be the most likely source of divergent virus sequences assigned to the samples of the same patient.
What happens if, in reading your 15-page magnum opus, I inadvertently mix up the sequence of pages?
Do not mix up classes.
You can mix up music.
Importantly, we used the same bioinformatics pipeline in the original analysis and in the validation procedure: that is, the failure to validate most cases of putative superinfection did not arise from the (lack of) sensitivity of the original phylogenetics analysis, but due to erroneous entries (sequence or sample mix-up) in the original database.
It's pretty clear that she's ashamed about mixing up the sequence of the whole "First comes love, then comes marriage, then comes baby in a baby carriage".
Experts sequenced the RNA of the fungus, which was mixed up with that of the plant.
We learn this thanks to a confusing precredit sequence, in which a paternity mix-up back in 1845 results in two deaths and further puzzling questions, like how did the paternity get mixed up in the first place?
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com