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A pipeline filter based on layering voting is designed to reduce probability of leak point false warning.
The default Illumina pipeline filter (chastity ≥0.6) was used for cleaning up raw reads.
Raw sequences were first subjected to an Illumina Pipeline filter provided by the supplier (Solexa 0.3).
After discarding low quality reads, adaptor sequence, contaminating mRNA, rRNA, tRNA and snoRNA sequences by Illumina Pipeline filter (Solexa 0.3), 12,744,815 clean reads (87%) were obtained.
Approximately 2.72 Gb from 75,583,814 high quality reads passed the Illumina GA Pipeline filter and were used for alignment.
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For VirMAP, the internal pipeline filters all viral contigs below 300 bits of information, and the standard table construction script further filters taxa IDs that score below an aggregate 1000 bits of alignment information.
Pipeline, filters, resumes, reviews, phone screens, code challenges and interviews.
According to the five steps above, the 8× block interpolation engine performs the pipeline filtering operations and the ultimate interpolation filtered result will be obtained after one clock cycle.
Sequences passing standard Illumina GA pipeline filters were retained.
As our pipeline filters out any SNPs found in less than 16 individuals from both lines (see below), none of the second-pair reads were retained for analysis.
Briefly, nTARs were identified by comparing the current broad annotation with the annotation obtained from the cufflinks pipeline (filtering class code u) using cuffcompare (option -r).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com