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In the following, for the sake of practical utility, we summarize the step-by-step PVDM procedure to determine the MER of a pulsating eruption, when analyzed from the near-vent videos: 1. Quantify the pulsation interval t pulse, i.e., the average time between two pulses.
Instead of making one model for all the known binding sequences (k-mers) of a TF, MotifScan scores a sequence against each k-mer explicitly.
We denote S k, r) the set of k-mers of a string r.
Promoter sequences were analysed for the presence of sequence motifs (n-mers) of a user-defined length.
The technology is based on an array of nanopores embedded on a chip that detects consecutive 5-mers of a single-strand DNA molecule by electrical sensing [ 7].
This approach permits to count all k-mers of a human genome dataset using only a fixed amount of memory and disk space.
Sixty percent similarity means that on average two k-mers of a subspecies will share at least one with another subspecies.
By a single run of a map function, we can obtain all k-mers and reverse-complement k-mers of a sequence.
Consider the k-mers of a long read starting at position 1,2,3, … : some k-mers belong to the graph and are solid, while others do not and are weak.
The score is derived from the proportion of k-mers of the read that occurs under that taxonomy node normalized by the proportion of k-mers of a random read that also appears under that taxonomy node.
We have suggested employing k-mer frequencies as feature representation; however, rather than exploring k-mers of a fixed k, we have scanned through all possible k-mers of all possible k's using DSM, and have proposed appropriate filtering technique to discard uninformative k-mers.
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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