Sentence examples for mutation rates vary from inspiring English sources

When expanding the intuition from our single-locus model to whole genomes, we must bear in mind that the effective Θ determining the probability of soft sweeps is not the same for different loci across the genome because mutational target sizes and thus adaptive mutation rates vary at different loci.

Evolutionary studies have suggested that mutation rates vary significantly at different positions in the eukaryotic genome.

Crossover and mutation probabilities and mutation rates vary for different problems, and even for different stages of the genetic process in a problem (LIN et al. 2003).

Mutation rates vary widely among different species of bacteria and even among different clones of a single species of bacteria.

Mutation rates vary among chromosomes [39] and the human-chimpanzee genetic divergence shows variation between autosomes [40].

Because the mutation rates vary between families of L1 elements, some CpG islands disappear faster in the older families of mouse L1 elements such as the GF and A subfamilies than in the younger TF family.

Mutation rates varied between loci and were estimated from the data.

Mutation rates varied around the same median value of 6.34 × 10−4.

For mitochondrial genes, the mutation rates varied greatly (one order of magnitude) between COI in plants and the intergenic spacer Cox2-Cox3 in red algae [ 51, 52].

The frequencies of the fixed mutation rates varied only slightly and the optimum mutation rate held constant when β was varied, although the mean effects of deleterious mutations changed substantially.

Globally, when considering substitutions and small indels, the pairwise mutation rates varied from 1.32 mutations per 10,000 bp (between A and B) to 35.97 mutations per 10,000 bp (between TK81-O and TK81-MS) with a median value of 20.72.