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Since revision sequences are typically non-monotonic, the extension is not straightforward.
In the current practice, system level risk and consequence sequences are typically calculated using logic trees to express the causative relationship between events.
A family implies evolutionary relatedness or sequence conservation between the mature miRNAs, and miRNA sequences are typically grouped as a family when the mature miRNAs are identical or there are very few mismatches, i.e., three or fewer nt substitutions and at least one conserved target transcript [22].
Newly generated sequences are typically identified using DNA-similarity searches like BLAST [9].
The concentration units for oligonucleotides and genomic sequences are typically reported as molar and µg/ml respectively in experimental studies.
Because of these complications, GC-rich sequences are typically optimized by the researcher using web-based tools [11] [14] that disrupt G repeats by choosing synonymous codons with lower Tms.
Similar(33)
TE detection in genomic sequences is typically performed using similarity searches against a set of reference sequences built from previously identified TEs.
Sequence identity among 16S rRNA sequences is typically interpreted as indicating a single species [ 21].
Where variation existed, the phylogenetic signal among coding sequences was typically inconsistent with 5' and 3' UTRs.
Intergenic sequences were typically short, resulting in higher gene density than in trypanosomatids.
Other Chordopoxvirus genera were excluded because their sequences were typically too divergent to generate reliable alignments and have very different %GC content compared to other poxviruses.
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