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Raw reads were received in fastq format.
All unclassified reads were removed from analyses.
The counts of the reads were listed.
In total, 1,011,338 sequence reads were aligned, and 28,093 sequence reads were aligned on average per sample.
The trimmed reads were then grouped into unique reads.
The clean reads were used in the following analyses.
After filtering low quality reads, 95.55% reads were retained.
Relatively few clinically important discrepant reads were reported.
In total, over a billion reads were obtained.
Next, the low-quality reads were filtered, and the remaining reads were used for the additional mapping steps.
Even reading it on paper — our table reads were intense.
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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