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All 15 octamers were moreover randomly distributed between the three reading frames of coding sequence (Figure S1) implying that neither codon usage bias nor highly common tripeptides [3] account for the high frequency of the oligomers.
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The two reads from each cluster were merged providing the adapter sequences and requiring at least an 11nt overlap between the two reads.
The difference between the zero reading and the reading with the pans loaded indicates the difference between loads in scale divisions.
However, whereas this short sequence between the two reading frames can be translated in cattle, it contains a STOP codon in human and mouse.
The incremental cost of single reading with CAD versus double reading was estimated assuming both a 0.3 and 0.8 percentage point difference in recall rate between the two reading options [ 12].
This view is supported by Coultheart and Rastle [ 11], who already stated in the original description of their reading model that initial processing stages are shared between the two reading routes (direct and graphophonological).
The program first identifies perfect overlaps between the two reads, and then finds reads that overlap if a single mismatch is allowed.
For paired-end reads, all positions between the two reads were considered as transcribed.
The fragment size determines the distance between the two reads, often called the 'insert' size.
The plot shows that there are no systematic differences between the two reads.
By independent we mean that any overlap between the two reads is purely by chance.
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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