Sentence examples for mutations on that from inspiring English sources

This makes them vulnerable to mutations on that chromosome, because any damaged genes have no twin to cover for them.

We propose that nucleosome remodeling is a key function for CHD7 during developmental processes and provide a molecular basis for predicting the impact of disease mutations on that function.

The first one is frequency based in which each gene is awarded a rank in accordance with the occurence of mutation which means the higher the frequency of occurence of mutations on that gene, the higher rank will be awarded.

A less extreme case is one that applies to T7: all genes are transcribed from the same strand, and mutations on that strand will largely determine viability of the infection (Molineux 2005).

Similarly to the analysis of pleiotropy, to generate such a matrix from our networks, for each weight an average effect on each phenotype was computed based on 1,000 mutations on that weight.

In this matrix, a weight was connected to a phenotype only if the average effect of mutations on that weight affected the phenotype value by 0.002 units, which corresponds approximately to an effect on fitness detectable by natural selection with the population size of 500.

A local tree is in the target distribution if Equation 7 leads to at least one mutation on that local tree.

Differential clustering under a particular branch of the tree suggests the possibility of a mutation on that branch which affects disease risk.

The prior odds ratio is the relative probability of no mutation on the branch connecting the outgroup to the base of the ingroup coalescent to the probability of a single mutation on that branch: P r i o r   o d d s   r a t i o = (D ^ − k − 1 k θ ^ ) − 1   (1 where)where D ^ and θ ^ are estimates of divergence and diversity, respectively.

This is due to the fact that if j [ c] ≠ h [ c] and h [ c] is the parent of j [ c], then i [ c] must be produced by a recurrent mutation on that site, which is not allowed under the infinite site model.

The TSG-S evaluates whether a gene harbors an elevated number of truncating mutations compared with the total number of mutations present on that gene.