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Pairwise identities between sequences were determined with SimPlot software method [48],with a window size of 200 nt and a step size of 20 nt.
The phylogenetic relationships between sequences were determined and a substitution model was estimated from the data.
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The similarity between sequences is determined by the dot product between the binary sequence vectors, and is deducted from the complete number of words in the vector space.
Percentage of nucleotide identity between sequences was determined for all observed differences (including insertions and deletions) and was calculated for the 1,473 nt available for all 98 sequences analyzed.
The phylogenetic relationships between the sequences were determined using the neighbor-joining (NJ) method and applying the interior branch test (Saitou and Nei, 1987).
Frequencies of all possible amino acid replacements (i.e. (20 × 19 /2 = 190 possible pairs of replacements) between the orthologous protein sequences were determined in the direction from the methanogenic archaea M.del to the sulphur metabolising archaea T.onn, following the method reported by Paul et al., described in details in the Materials & Methods section [ 37].
Genes were declared differentially expressed by SAM (FDR < 5‰) and by GeneANOVA with a p-value < 2% from dataset 2. Percentage homologies between spotted oligonucleotides and bovine sequences were determined using BLASTN and BLASTX searches.
Phylogenetic relationships between known SAT 3 P1 coding sequences were determined.
For the nrDNA matrix, the boundaries between the ITS1, 5.8S, and ITS2 sequences were determined by reference to Rhododendron kanehirai (GeneBank Z00044, [ 23]).
Optimal pairwise alignments between zebrafish and human ortholog protein sequences were determined with the Needleman Wunsch pairwise sequence alignment (Needleman and Wunsch, 1970) tool available at EMBL_EBI (http://www.ebi.ac.uk/Tools/psa/emboss_needle/) (McWilliam et al., 2013).
All primer sequences were determined using established human GenBank sequences.
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