Your English writing platform
Discover LudwigSuggestions(1)
Exact(59)
The sequence reads matched to 5517 coding genes in the P. putida KT2440 genome (Nelson et al. 2002), indicating that the sequencing was deep enough to cover almost all kinds of transcripts in the cells.
Eighteen reads matched Yersinia species.
In seedling, greater than 30% of the ∼21-nt ∼21-ntant redundantched to known mireads
A low percentage of the clone reads matched annotated m/t/r/sn/snoRNA.
Several reads matched both commensal and pathogenic organisms with equally strong identity percentages.
The next large group of reads matched (10.6% in the November sample and 6.6% in the June sample) ssDNA viruses.
However, by adding in the nine phage genomes from the assembly over 66% of the reads matched.
A total of 14 reads from 18,014 reads matched to the HCoV-HKU1 virus, with four regions being detected (Table 4).
Approximately 82% of the reads matched with the known human miRNAs, indicating that miRNAs had been successfully sequenced (Supplementary Table S1).
Similarly, we found that the majority (68 in 92) of the TE-MIRs showed similar level of small RNA reads matched on both strands (Figure 1B and Table S2).
To identify the conserved miRNAs between grouper and zebrafish, the remaining RNAs were blasted against the miRNA database, and 3,457,140 reads matched perfectly to known zebrafish miRNAs.
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