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For any genetic mutation, the number of possible ODNs is large, and optimizing the vector by trial-and-error would be expensive.
Step 2: Defining the number of mutation The number of mutation of the selected antibody is adaptively determined every iteration.
However, despite the ongoing marking of cells through sporadic mutation, the number of surviving clones does not increase substantially between 39 to 79 year old patients.
Despite such mutation, the number of total mutations fixed in the consensus sequence of population RAp35 was very high (1.13 mutations/passage, Figure 6) when compared with its ancestor (0.2 mutation/passage).
For each somatic mutation the number of true positives (sample runs pre-validated for the SM that record it as a "High Confidence" Call by the OncoScan® assay), false negatives (sample runs pre-validated for the SM that record it as a "Lower Confidence" or "Undetected" Call by the OncoScan® assay) and the Sensitivity (true positives/ true positives + false negatives)).
The results of these analyses revealed a significant relationship (P < 0.05) between allele variation and motif mismatches of imperfect microsatellites, and also showed that for accumulation of a single M1 type of mutation, the number of repeat mismatches in the microsatellite decreases by 56%.
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Because we distinguish only n − 1 types of mutations, the number of mutational configurations goes down from (k m + 2 ) 2 (n − 1 ) to (k m + 2 ) (n − 1 ).
Because evolution relies on the random occurrence and subsequent spread of rare beneficial mutations, the number of passages and the number of conditions needed to achieve satisfactory attenuation varies considerably (Fig. 1b).
In the case where there are triply-resistant mutations, the number of mutations that confer resistance to all the drugs in the treatment is of most importance in determining the best treatment strategy.
With the addition of the top 1% of recurring mutations, the number of genes increased to 315.
For n random mutations, the number of expected replacement (R) mutations should equal 0.75 n, and the number of expected silent (S) mutations should equal 0.25 n.
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transformation the number
move the number
deployments the number
transfer the number
mutation the plasmid
mutation the deletion
mutation the efficiency
mutation the solution
mutation the spore
mutation the structure
mutation the power
mutation the crossover
mutation the story
mutation the message
mutation the feasibility
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
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CEO of Professional Science Editing for Scientists @ prosciediting.com