Sentence examples for difference in the editing from inspiring English sources

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Was there a big difference in the editing between the films?

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As volunteer editors worked through their differences in the editing process, they found resolution in facts, and representation in citations.

In order to monitor differences in the editing levels of differentiated and undifferentiated hESCs, we used the SEQUENOME MassArray technology or direct sequencing.

A similar study found no significant differences in the 5-HT2CR editing patterns of individuals diagnosed with depression, schizophrenia, bipolar disorder or substance abuse [ 48].

The highest difference observed between methods was a 10.8 % difference in editing, whereas the lowest difference observed was 0.8%%.

ANOVA analysis resulted in F-ratio 68.25 (p = 4.9E-40 4.9E-40strating that the demonstrating edithat efficiency among various sithe in the same Alu repeat is an ordifferenceninudeditingr than variability in efficiencyficiency of specific sites amongs indivarious.

The major difference in the relative entropy around editing sites in codon positions 1 and 2 is the large peak at the +2 position in CPA1, and a similar result was observed in angiosperm mitochondrial genomes (Mulligan et al. 2007).

We therefore conclude that the variation of results across individuals is significantly lower than the difference in editing efficiency between different sites (F-ratio 41.8 by ANOVA analysis; p-value 1.1E-28 1.1E-28

Here, in our two subjects, we also observed differences in the number of editing sites and the level of editing.

While our study helps establish intra- and inter-individual differences in RNA editing in the human brain, the speed and breadth of genomic sequencing technologies is driving studies of RNA editing beyond simple quantitative levels, even revealing differences in subcellular editing events [ 53].

Importantly, only 728 A-to-G modifications were found in the coding regions of human using this algorithm (Porath et al., 2014), even though a much larger RNA-seq dataset was used (∼5 billion reads of Illumina Human BodyMap 2.0), thus supporting the dramatic difference in editing between squid and other organisms.

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