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The total gene mutation index was lowest in tumors from the youngest patients.
A mutation index was calculated and tumors from elderly patients were found to have accumulated more gene sequence changes than the ones from young patients (1.5 vs. 1.0) which might indicate a time difference in tumor development.
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For each of the predicted antigenic peptides, the average variability index was calculated mutation types were identified and all possible combinations of mutations were identified from multiple sequence alignment (Table 3).
Based on this last approach, the Transmission-Mutation Index TMI was suggested in [ 3].
Repeat-induced point mutation (RIP) indexes were calculated for 500-bp sliding windows across the genome for both N. tetrasperma strains, using a custom Perl script and the composite index described in Lewis et al. (2009).
Tumor rupture, KIT exon 9 mutation, and a large body mass index were also associated with unfavorable RFS, whereas tumor PDGFRA mutation D842V was associated with favorable RFS (Table 2).
The Transmission-Mutation Index TMI is promising in that a high TMI would be more likely due to high 1/ τ than high μ, whereas the other indices respond too strongly to μ to allow such an inference.
The third index is the transmission mutation index (TMI) [ 14].
Swap mutation, arithmetic mutation, jump mutation, uniform mutation and creep mutation are some of the well-known mutation operators.
Mutations at the respective residue indices were introduced by simple remodeling in PyMOL.
For each mutation associated with atherosclerosis, sensitivity and specificity indexes were studied.
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