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In our experiments, we scanned through each corpus to extract all word sequences with less than four words, and then let the annotators decide whether a word sequence was a sentiment expression; if it was, they annotated its polarity.
You're making some of the most interesting fight sequences with less money than other people.
Sequences with less than 10 amino acids were removed and the remaining aligned using muscle [44].
Deduced amino acid sequences with less than 40% identity described a new ALDH protein family.
Sequences with less than 95% identity were matched to the taxonomic level supported by the groups of reads.
Truncation would occur if the synthesis of cDNA or RNA were incomplete forming shorter nucleotide sequences with less fluorescence per RNA.
It is also possible that the two major drops in sequence overrepresentation reported above reflect uptake bias only towards sequences with less than 2 mismatches to the DUES.
The core region of ∼40 amino acids was aligned for all sequence sets using Muscle [18]; sequences with less than 80% coverage of the core were removed.
Chromatograms were transformed into Fasta format with Phred software [42] and sequences with less than 300 bp and chimeras were removed prior to further analysis using MOTHUR.
The sequences with less than 100 bp length, or with ambiguous bases with more than two "Ns", or with unnamed species (such as those with spp. and aff. in the species name) were excluded.
Phylum level affiliation of sequences were determined according to the classifier output, and sequences with less than 85% similarity to their closest relative in Greengenes database were considered unclassified.
Write better and faster with AI suggestions while staying true to your unique style.
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