Exact(3)
Filtering based on read quality is not sufficient per se, which caused us to make an assessment of the reliability of a read based on its abundance relative to the abundance of any other reads with highly related sequences.
Early on in the processing of a file, when little information exists about the relative abundance of different k-mers, ties between buckets are broken consistently by preferring to bucket a read based on its minimizer.
Quality trimming of the Illumina data was performed with the windowed adaptive trimming tool Sickle (https://github.com/najoshi/sickle), using q = 30 as the threshold for trimming based on average quality in the sliding window and l = 50 as the threshold to keep a read based on length after trimming.
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The transcribed responses were read based on a comprehensive understanding of the research question.
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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