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Using an integer programming framework, our method refines predicted secondary structures (i.e. removes incorrect canonical base pairs) to accommodate the insertion of RNA 3D motifs (i.e. hairpins, internal loops and k-way junctions).
Input: An m × n mutation matrix A, integer k > 0.
Hence, using a similar argument as in Lemma 5.3 of [19], there exists an integer k 0 ∈ N such that c k ≤ C 7 k s s − 1 for all k ≥ k 0. (36).
Input: An undirected graph G= V, E) and an integer k.
To simplify the notations we use a single integer, k, to index the positions around the real pilot.
Choose an integer (k in mathbb {N}), simulate k uniformly on (mathbb {P}) distributed points X (j),j=1,…,k using Algorithm 1.
We reduce from CLUSTER EDITING: Input: An undirected graph G = V, E ) and an integer k.
For efficiency concerns, our program takes an integer K as input.
We use an integer linear programming (ILP) formulation for this.
pneumoniae (using a random integer generator) from a collection of 135 K.
Let R be a non-empty set of reads of length l, together with their reverse complements, obtained after sequencing a DNA sequence D. We denote δ the coverage depth used for obtaining R. Given a positive integer k ≤ l, a k-mer is a substring r[ i, k] of a read r ∈ R such that 1 ≤ i ≤ l − k + 1.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com