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Using the new cost function, we obtain the optimal training sequences for the following three classes of CAZAC sequences: (i) Frank and Zadoff Sequences [18], (ii) Chu Sequences [19], (iii) Polyphase Sequence by Sueshiro and Hatori (S&H Sequences) [20]. .
Our findings uncover two types of EWS-FLI1 binding sequences: (i) consensus ETS binding sites and (ii) GGAA microsatellites.
A CHA is based on three categories of related sequences: (i) a query set, (ii) a foreground set and (iii) a background set.
When necessary for clarity, we write α ij to indicate the true time of divergence between sequences i and j.
The (i, j) component is the pairwise C LZ with respect to direct repeats between sequences i and j.
However, this apparently natural statistic is substantially biased when the sampling times of sequences i and j are close.
Here, Di, jis the pairwise difference between the two sequences i and j and is define das equal to Ri, j.
Let S ijv be the score for the aligned residue pair from sequences i and j in position v according to some substitution matrix.
We focused on two not mutually exclusive classes of regulatory sequences: (i) conserved 3'UTR motifs and (ii) 3'UTR microRNA (miRNA) cognate sequences.
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Theorems 3.1-3.3 3.1-3.3at the real showence { α n } sathatying the two conditions (C1) and (C2) is sufficient foreale sequenceonvergence of the iterative sequences (I)-(III) for k-strictly pseudocontractive mappings, respectively.
This prediction was also confirmed by the FR analysis, which identified the GIY-YIG domain as the best template for COG3680 sequences: I-TevI (1ln0): INBGU score 47.26, UvrC (1yd0/1ycz) SAM-T02 score 0.0038, PCONS2 consensus score 1.513.
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