Possible reasons for mismatch might be due to participants having difficulty in distinguishing such terms as "a wide range of", "a large number of" and "a range of".
A wide range of skills mismatch is observed across the sample of 31 European countries (see Fig. 2).
This means that in the present range of lattice mismatch (below 10−3), the N content and not the residual strain is the main factor determining the optical quality of the structures.
The range of central mismatch leading to translation inhibition was between 9 and 11 nt.
psRNATarget program was executed with parameters at their default settings i.e. score or maximum expectation at 3, length of complementary scoring at 20, target accessibility at 25, flanking length around target 17 bp upstream and 13 bp downstream and keeping range of central mismatch leading to translational inhibition in between 9 11.
The parameters were as follows - Maximum expectation: 3, Length for complementarity scoring: 20, Allowed maximum energy to unpair the target site (UPE): 25, Flanking length around target site for target accessibility analysis: 17 bp, Range of central mismatch leading to translation inhibition: 9 11 nt.
The following default parameters were applied: maximum expectation value, 3; target accessibility – allowed maximum energy to unpair the target site (UPE), 25; flanking length around the target site for target accessibility analysis, 17 bp upstream and 13 bp downstream; and the range of central mismatch leading to translational inhibition, 9 to 11 nt.
Given the weak nature of the atxn7 G U nucleotide mismatch, we investigated whether enhanced wild-type:mutant discrimination could be achieved by incorporating a range of secondary mismatches in addition to the primary nucleotide mismatch (Figure 1A), however improved mutant selectivity was not obtained (Figure S1A).
We are particularly interested in analysing discrepancies within and among such experts' ontologies, and have identified a range of ontology mismatches.
We further demonstrate that this system can effectively discriminate a range of different mismatches.
