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Removal of all possible duplicate reads left 4,108 non-duplicate reads, giving 147.9 kb of sequence.
Removal of duplicate reads, allowing only one read per locus, yielded inconsistent results across the sample set (Figure S11).
A recent study [39] described the occurence of artificially created duplicate reads in datasets generated using the pyrosequencing method.
Disease progression was monitored by peripheral leukocyte count using blood smears in duplicate, read by workers blinded to treatment group.
Duplicate reads were removed from the data by analyzing the alignments to each UCSC transcript in the transcriptome reference.
Duplicate reads were removed.
Identical duplicate reads were removed.
We removed all duplicate reads.
Duplicate reads were removed using Picard MarkDuplicate.
Duplicate reads were retained for this analysis.
Potential duplicate reads were identified and eliminated.
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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