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In aggregate, these algorithms are either limited in performance time or accuracy, and can lead to the inability to detect the biologically relevant variants (predominantly single base mismatches, and insertions or deletions of 3 bases or greater), and with some algorithms imposing a limit on the length of the read that can be considered (see Supplemental Materials S1).
It filters out portions of the read that may be unreliable, and then identifies alternate alleles from the remainder.
In contrast, Type-B insertions correspond to any flanking region of the read that is not aligned to the genome.
We can estimate the proportion of linker sequences at the 3′ end of the read that contain no sequencing errors.
Second, it moves to the front of each read in the bucket the region of the read that directly follows the shared substring.
The score is derived from the proportion of k-mers of the read that occurs under that taxonomy node normalized by the proportion of k-mers of a random read that also appears under that taxonomy node.
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The bowtie option was set to obtain only the reads that match 100% to the reference.
The reading that followed left me in disbelief and almost gave me a bad stomach ache.
Which is the reading that's mostly on offer here today.
In this analysis, the reads that were mapped to multiple positions on the genome were excluded.
The reads that have passed Illumina's internal quality filter were retained for further analysis.
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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