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Genetic change is measured with two parameters genetic identity (I), which estimates the proportion of genes that are identical in two populations, and genetic distance (D), which estimates the proportion of gene changes that have occurred in the separate evolution of two populations.
The distance between two genomes is the proportion of gene families where their present/absent status differs.
Taken together, regions of 3.22 Mb were annotated by Entrez Gene, accounting for only 8.87% of all CNVRs, much less than the proportion of gene regions in the whole genome (21.35%, Table 1).
The proportion of gene sets in each GO category which showed an LPv <0.05 is shown in Table 2. Our method achieved 91.3% and 91.6% accuracy for GO terms in molecular function for mouse and human collections, respectively.
Figure 2A and 2B shows a graphical representation of the proportion of gene expression variance due to TNF and PL and the logarithm of P-value for each gene.
Only a small proportion of gene pairs is correlated if one neglects a time delay.
However, this is not the case for a substantial proportion of gene families.
A large proportion of gene families are in the general function prediction only and unknown groups.
The probability p is the proportion of gene models in the superset attributed with annotation Annot.
We use maximum likelihood to estimate the gain and loss rates and the proportion of gene families in each category.
Consequently, the proportion of gene gains by gene duplication is generally high (>60%) in most of the lineages.
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