Sentence examples for multiple methylation sites from inspiring English sources

All glycans have multiple methylation sites and, owing to the multiplication of the mass-shift, mass differences for the discrimination of differentially labeled glycan pairs to be analyzed using high-resolution mass spectrometers (e.g., Fourier transform MS) are obtained.

A factor here represents a combined effect from multiple methylation sites with various levels of contribution.

The same result can be obtained in the detailed bacterial chemoreceptor model, in which multiple methylation sites are considered [24] (Fig. 2A).

This method is highly accurate with regard to specific methylation sites, and it enables both quantitative assessment of methylation levels and analysis of multiple methylation sites [ 16, 24, 25, 29].

To match the methylation sites to a given gene, we use the annotation files for the platforms and use those methylation sites that are encompassed within the promoter region of a given gene thus potentially allowing multiple methylation sites to map to a particular gene.

Much interest has focused recently on the development of principled methods for combining information from multiple nearby methylation sites to aid biological inference [ 4, 5].

Although the potential joint or independent epigenetic role of the various loci remains to be clarified, these findings, as well as the disappearance or attenuation of association between smoking and mortality outcomes after adjustment for methylation at these CpGs in the present study, suggest that multiple DNA methylation sites are involved in mediating smoking-related adverse effects.

Fragment 190 to 219 showed the strongest methylation, while the fragment from amino acids 114 to 144 was only weakly methylated, suggesting that multiple SET7/9-dependent methylation sites are present in the CTD of H1.4.

No hypermethylation at multiple methylation-sensitive restriction sites in the 5́-CpG island of p15 was encountered in the remaining tumours.

However, existing peak-based methods could not effectively differentiate multiple methylation residuals located within a single methylation site.

Since existing peak-based methods could not effectively differentiate multiple methylation residuals located within a single methylation site, we propose a hidden Markov model (HMM) based approach to address this issue.