Sentence examples for probable alignment from inspiring English sources

Each subject alignment was carefully examined for regions of highly variable, ambiguous alignment, in which a preponderance of indels and repeats occurred, making a probable alignment difficult.

If the optimal translation has fewer than a user-specified number of color-space mismatches against the reference sequence, the alignment is kept until the algorithm completes or a more probable alignment is found.

For this pair, we present the sequence alignment of the interaction based on the crystal structure, although in most cases we present a probable alignment based on electrostatic complementary at e– g′ positions and other specificity determinants such Asn-Asn pairing at a-a′ positions (primes indicate a position on the opposite helix).

[ 49] exploit such an approach when sampling over the joint space of trees and sequence alignments; when proposing an update to τ, these authors integrate over the smaller portion of alignment-space affected by jumping from the current to proposed tree; then, given the new tree, re-sample a consistent and probable alignment.

There are often many equally probable alignments of two repeat regions and thus there are no obvious criteria for deciding which unit should be removed in order to arrive at the correct dN/dS ratio.

This value is calculated by taking the probability of the least probable valid alignment corrupted with two extra base mismatches.

Based on the data and energy band gap calculations of CuIn3Se5 and CdS thin films, the probable band alignment between the nanostructured p-CuIn3Se5/n-CdS heterojunction is proposed.

A standard approach is to decide based on the likelihood ratio between the two models, which quantifies how much more probable the alignment is under one model than under the other.

The key to sparsifying PARSE, is to optimize only over a subset of solutions, namely probable structures and alignments defined applying fixed probability thresholds θ1, θ2 and θ3 to the above probabilities.

To define the probable structures and alignments, and thus determine the 'relevant' entries of the matrix, we define several probabilities of structure elements in the structure ensemble of a sequence A. For defining these probabilities, we assume that the structures of an RNA sequence A are Boltzmann-distributed in the structure ensemble, where RNA energy is given by a loop-based energy model.

iHMMune-align uses the Viterbi algorithm (Rabiner, 1989) to find the most probable path through the alignment matrix, but does not sum over paths or provide results on sub-optimal alignments.