Sentence examples for distinguishing highly from inspiring English sources

More generally, our studies demonstrate the challenges inherent in distinguishing highly homologous, copurifying protein isoforms by MS and show the applicability of MRM mass spectrometry for identification and quantitation of nonsynonymous single nucleotide variants and other proteoforms in airway lining fluid.

Similarly, the authors discuss the question of distinguishing highly similar exon sequences in DSCAM, but it is not clear if their approach is a general solution.

Thus, selection on codon usage for error minimization has hardly had any role in distinguishing highly and lowly expressed tissue-specific genes.

One challenge for genomic studies in polyploid species is the difficulty in distinguishing highly similar homoeologous genomes (~97% identical between A and B wheat genomes within protein-coding regions).

Still, it has to be noted that, even after including only place contrasts, we did not find differences between reading groups: Distinguishing highly similar stop consonants was difficult for both RD and CA reading controls.

Moreover, the redundancy of the technique [ 38] proved to be very informative in cases of alternative splicing and multigene family member displaying [ 27, 29, 32], for distinguishing highly homologous genes [ 39- 41].

These abilities are what distinguish highly successful people.

This enabled them to identify "the stylistic elements that are more prominent in successful writings", giving an algorithm that can correctly distinguish "highly successful literature from its less successful counterpart" in up to 84% of cases.

To determine whether serum vascular endothelial growth factor (VEGF) levels can distinguish highly responsive women who subsequently develop ovarian hyperstimulation syndrome (OHSS) from women with a similar ovarian response who do not.

William L. Sanders, a senior research manager for a North Carolina company, SAS, that does value-added estimates for districts in North Carolina, Tennessee and other states, said that "if you use rigorous, robust methods and surround them with safeguards, you can reliably distinguish highly effective teachers from average teachers and from ineffective teachers".

This proposed framework addresses two major shortcomings of existing wavelet-based adaptive numerical methodologies, namely the reliance on a rectangular domain and the "curse of anisotropy", i.e. drastic over-resolution of sheet- and filament-like features arising from the inability of the wavelet refinement mechanism to distinguish highly correlated directional information in the solution.