Exact(60)
Additionally, the RNAfold server predicts minimum free energy (dG) values of a given nucleotide sequence, thereby providing a numeric value representing the degree of internal mRNA folding.
For example, in RNA a given nucleotide may form base pairs with more than one other nucleotide, as in Fig. 2(b), and in proteins a given amino acid may be in contact with more than one other amino acid.
A multilayered feed-forward ANN architecture trained using the error-back-propagation (EBP) algorithm has been developed for predicting whether a given nucleotide sequence is a mycobacterial promoter sequence.
To overcome the time consumption of Smith Waterman algorithm, Lipman and Pearson proposed FASTA tool in 1985, which takes a given nucleotide or amino acid sequence and searches a corresponding sequence database by using local sequence alignment.
A minority SNP was defined as present if occurring ≥25% of the time at a given nucleotide position.
In the exponential distribution
The minimum z-score across three spot replicates on each of two array replicates for each sample was taken as the significance score for a given nucleotide and position.
The net consequence of recombination, which is measured by the rate at which a given nucleotide is substituted by recombination versus point mutation (r/m), demonstrates that a change is almost twice as likely to be produced by recombination in the ST31 complex and its triple-locus variants than in ST10 and triple locus variants (Table 1).
We used as measure of evolutionary conservation the phastCons score [54] representing the probability that a given nucleotide is part of a block of conservation, given the genome alignments of a number of placental mammals (human, chimpanzee, rhesus monkey, bush baby, treeshrew, rat, mouse, guinea pig, rabbit, shrew, hedgehog, dog, cat, horse, cow, armadillo, elephant and tenrec).
Although techniques like phylogenetic shadowing can be applied toprimate gene sequences to identify putative regulatory elements [9], [46], human-specific changes in non-coding regions have been more difficult to quantify than those in gene coding regions, since the effect of a given nucleotide change in a putative regulatory region cannot be readily deduced a priori.
This can be visualized as a conservation plot of the likelihood ratio that a given nucleotide position experienced relatively faster or slower accumulation of variation over time; the strongest peaks of the conservation plot, that is, regions of low variation, are expected to correlate with functional regions [47].
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