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In the tetrahedral structure the positions of nuclei span five 12-fold orbits of the T group, their coordinates being weakly dependent on the value of α ranging from 8 to 12. To characterize the tetrahedral pattern analytically it was then sufficient to calculate angular coordinates of five non-equivalent nuclei (with one generating position in each orbit).
The most pain generating position was supine.
PSI-BLAST performs iterative profile searches by generating position specific scoring matrices to achieve high sensitivity.
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Next, the i3 spike was rotated by the quasi-2-fold axis at psi = 74.6°, fi = -80.9° (an orientation appropriate for T = 4 quasi-symmetry) to produce the "q3" spike, generating positions #2, #3, #4 of the heterodimer.
The genotype dependent component ∈ gen was simulated by generating positions x∈ and effects v j (see below), building E(x ∈) in the same way as A(x QTL) and computing ∈ gen = E(x ∈) v.
As a result different predictions will exist for the generated position data of a given day.
Each generated position has a localization history in the form of an ancestors list which stores the consistent positions of, and the ancestors of those positions, check the consistency of a pair of points, then involves comparing their ancestries.
The basic framework of PSO for optimizing an objective function can be described as follows: Step 1. Randomly generate position vectors,, each one is regarded as a particle and represents a potential solution of the optimization problem.
ConFunc generates position specific scoring matrices (PSSMs) for each GO term using the conserved residues among the sequences annotated by the GO term.
The training features of the protein sequences include amino acid composition, dipeptide composition, secondary structure composition and PSI-BLAST generated Position Specific Scoring Matrix (PSSM) profiles.
We generated position weight matrices using the sequences from the top ten enriched motifs.
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