Your English writing platform
Discover LudwigExact(60)
The majority of reads were filtered using BBDuk due to a high presence of adapter dimers and human genome contamination (41.75%) likely a consequence of low DNA concentration in the library preparation.
As expected, the majority of reads with significant homology to known sequences were of viral origin.
The majority of reads that could not be annotated accurately had closest matches to the phyla mentioned above.
The majority of reads were either not assigned to any taxon (33.04% unknown) or classified very poorly (e.g. 24.19% were classified only as belonging to the Eukaryota) (Figure S1).
Since the majority of reads in the testis at the ages assessed are composed of let-7 family miRNAs, predominantly represented by their 5p reads, this further inflates this bias.
The majority of reads from each sample (57 79%) were successfully aligned; those that did not align are likely to be polyclonal, low quality or have origins outside the reference human genome.
It turns out that the majority of reads in this category were junction reads.
The majority of reads were around the 22 nt peak, indicating miRNA enriched samples.
The majority of reads can be mapped with very high confidence (Fig. 1a).
The majority of reads (>80%) had a mapping quality score ≥30.
The vast majority of reads were uniquely mapped on the same chromosome for both paired reads.
Write better and faster with AI suggestions while staying true to your unique style.
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