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The tweet, which has since been removed, read: "#Aurora is trending, clearly about our Kim K inspired #Aurora dress ;)".
We removed read duplicates using Picard MarkDuplicates (http://broadinstitute.github.io/picard/).github.io/picard/
Adaptor sequences were removed, read quality was checked, and reads were trimmed and filtered for length.
For pair-ended libraries, we removed read pairs if both the forward and the reverse (or their complements) were duplicates.
Using normalization, correction, and quality-filtering algorithms, weak signals and low quality sequences were removed; read ends were also screened and trimmed for 454 adaptor sequences.
Prior to this step, we removed read clusters in the bottom quartile (<120 base pairs) of the known exon length distribution, and translated the nucleotide sequence corresponding to each of the remaining read clusters in all three reading frames.
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From the collection of reads mapping to the genome without mismatches we removed reads mapping to pre-miRNAs, tRNAs, rRNAs, snoRNAs, snRNAs, and piRNAs.
"They have ordered that the signs and restrictions be removed," reads the Facebook post.
We removed reads containing ambiguous bases and of read lengths <100 nucleotides, separated those derived from + and – strands, and manually trimmed trailing ends to remove poor quality data.
Because the samples were oversequenced (>3 million reads total), we removed reads that increased coverage over a 30× threshold, leaving 2 million reads for the assembly.
In these analyses, we removed reads that target multiple loci.
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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