Sentence examples for biased usage from inspiring English sources

Consequently, detecting biased usage of more efficiently decoded ("translationally optimal") synonymous codons is not in itself sufficient to implicate a particular error process.

In addition, in chronic lymphocytic leukemia (CLL), marginal zone lymphoma (MZL), and mantle cell lymphoma (MCL), biased usage of IGHV genes and stereotyped clusters of immunoglobulin receptor support the role of antigen-driven mechanisms in their pathogenesis [ 7, 8].

We define here as differentially processed those alternative poly(A) sites with a significantly biased usage in any tissue class, as compared with other poly(A) sites from the same gene.

From our earlier study (Behura and Severson 2012b), we observed that while codon bias is favored by high GC content of dipteran genomes (such as mosquitoes), high AT content of genes favors biased usage of synonymous codons in the hymenopteran insects (such as honeybee).

It is well established that highly expressed genes have strongly biased usage of alternative synonymous codons and that of preferred codons, which are thought to be translated most efficiently by the most abundant tRNAs, and the lowly expressed genes have less biased codon usage patterns.

The factors that potentially affect biased usage of codons are MB that correlates the codon usage bias (CUB) with the genomic GC content, Hill−Robertson effect explaining the interference of selection of one locus with another locus, translational selection, and a cumulative effect of replication and translational selection in shaping the codon usage across the genes of several bacterial species.

We also eliminated from the dataset putative highly expressed (PHX) genes that have specifically biased codon usage patterns.

The efficiency of heterologous PEDF production in bacteria can be greatly diminished by codon bias usage.

Here, we used both strategies and showed that expression of the human PEDF protein is greatly improved by engineering the native gene to be compatible with E coli codon bias usage.

A key result from our study is the finding of a reduction in codon bias usage in selfing genotypes, as predicted by a relaxation in selection efficacy.

Using this approach accounts for transition/transversion rate biases, codon usage bias, and multiple substitutions.