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If a read matched one or more known microRNAs with >95% identity, it was regarded as homologous in evolution.
For clarity in the text below, the half of the read that seeded will be referred to as the 'first half' and will be described as if the initial half of the read matched to the 5' edge of the intron, with all sequences in the sense direction.
For each of these 35 bp segments and on each strand, one read matched the reference allele and one read matched the non-reference allele at the SNP position.
If a read matched multiple locations within a single ORF, it contributed only one count for the read.
Only one sequence read matched this BES in Williams 82 trace files, with about 60 SNPs and 6 SNIs.
If the read matched to both alleles on the basis of the above criteria, the read was assigned to the allele with the lower Qsum.
Similar(47)
Reverse read matching was enabled, while reference-based chimera calling was disabled.
The 3' end of any read matching the adapter sequence over at least 3 bp was trimmed off.
The e-value and GI accession number are recorded for each read matching an entry in GenBank.
What returns do you get? Do the things you read match up with their claims?
Eighteen reads matched Yersinia species.
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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