Sentence examples for compositional matrix from inspiring English sources

Alternatives derived from thermal, mechanical and enzymatic processing and from fractionation techniques by means of membranes are presented which can be exploited for fractionation and compositional matrix design of dairy products.

Propensity towards α-3 receptor, human macrophage migration factor and thiazolidinedione were found as false positive off targets with E-value => 10−4 for compound 1, 3 and 4. Further, displaying positive drug drug interaction of compound 1 as uricosuric was validated by all databases and docked protein targets with sequence similarity and compositional matrix alignment via BLAST software.

funestus conceptual proteins were gathered into a database that was searched by BLASTP with each component protein, with the filter for low complexity set to False (-F F), word size = 2 (-W 2) and using the default compositional matrix adjustment ON.

When either compositional matrix scaling or compositional matrix adjustment is used, substitution scores are computed for all standard amino acids.

Conditional compositional matrix adjustment, the method used by C-TBLASTN, shows better retrieval accuracy than S-TBLASTN.

The third version, which we denote C-TBLASTN, performs compositional matrix adjustment[ 5] conditionally as described in Altschul et al.[ 6].

PCA and HCA of the compositional data matrix of the rural site (variables C, O, Na, Mg, Al, Si, Cl, K, Ca, Cr, Mn, Fe, Ni, Cu, and Zn for 317 samples) were performed.

Several iterative BLASTP queries were run with default parameters (Expected value:10, Word size 3, Blosum62, Gap Opening Penalty 11, Gap Extension Penalty 1 and Conditional compositional score matrix adjustments) using the last hit from each query as input for the next run until no new sequences were retrieved.

Data were log transformed, centered, and a compositional dissimilarity matrix of transcriptome libraries was constructed based on Spearman correlation coefficients.

We simulated random mutations by using a compositional substitution matrix based on the nucleotide frequencies of the original (wild type) genome [ 47].

Data were normalized by the total number of GH domains detected in each library and a compositional dissimilarity matrix was constructed based on Euclidean distance.