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Consequently, the relatively permissive W = 16 was maintained in order to facilitate the identification of alignments, particularly in the context of searches of genomic (MF) databases against a database (Os_CD) which consists of predicted coding sequences.
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Most of techniques dealing with the stated problem reduce the problem of specificity prediction to the identification of alignment positions that may be important for protein specificity.
Notably, this led to the identification of 41 alignment positions in which residues invariable throughout dicots are absent in monocots, and 84 alignment positions in which residues invariable throughout monocots are absent in dicots.
The practical significance of such a mathematical model is that it allows for the straightforward formulation of an approach for on-site identification of bearing alignment changes during system operation.
Hence, we followed the approach presented in [ 49]: for the identification of extreme alignment scores, it suffices to approximate the right tail of the distribution; the tail can be fitted well by an affine function.
However, the probabilistic and PCA approach enabled a more holistic evaluation of sensitivity, including identification of combinations of alignment parameters that most significantly contributed to kinematic and contact mechanics outcomes throughout the flexion cycle, and the predictive capability to estimate joint mechanics based on alignment conditions without requiring additional analysis.
SOAP2, Bowtie, BWA, and Novoalign all allow pair-end alignments, enable the identification of the best alignment, and incorporate certain ways of trimming low quality bases (Table 2).
This paper presents a methodology that allows the identification of the road alignments (curves, straights and clothoids) and their corresponding values of curvature based on a list of points with UTM coordinates obtained from field data.
Because retrocopies are processed copies of multiexonic genes, our pipeline relied on the identification of genomic intronless alignments from mature transcripts (mRNAs).
Parameters for identification of SNPs within alignments of RAD sequences were set such that only those containing a single SNP which occurred more than 5 times within an alignment were collected.
To build a structure model for a target protein sequence, the TBM process consists of four major steps: identification of structural templates, alignment of target sequence to structural templates (or sequence-structure alignment), model building, and model quality evaluation.
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