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By any reading, that strikes me as unfair.
It's certainly painful to watch things unfold over there, hence my objection to any reading that makes it just more grist for the commentary mill.
Any reading that was three standard deviations above the mean of the negative controls was inferred to be positive.
Make sure you take the class seriously by turning off your cell phone and by doing any reading that is assigned to you.
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Any reads that matched an rRNA or non-microRNA Rfam family were filtered before miRNA analysis.
Any reads that failed to align to the reference genome or aligned identically to more than one position were ignored.
In an open-reference OTU picking process, reads are clustered against a reference sequence collection, and any reads that do not hit the reference sequence collection are subsequently clustered de novo.
Any reads that did not match the genomes in a unique position were not considered for further analysis.
To simplify subsequent analyses, any reads that would extend beyond the edges of the genome were discarded.
For each read overlap set Rr we create a multi-alignment of all the reads and screen out any reads that do not pass the error-rate and correlation tests (described below) to produce a filtered read overlap set R'r⊆Rr.
Any reads that do not match certain criteria are removed.
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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