Sentence examples for probability of evolving from inspiring English sources

We show that while projects distributed under highly restrictive licensing terms (GPL) have a significantly smaller probability of reaching a stable release, applications towards sophisticated users have a larger probability of evolving in the development status.

Precise estimates of the probability of evolving the remaining mutations for the virus to become a respiratory droplet transmissible A/H5N1 virus cannot be accurately calculated at this time because of gaps in knowledge of the factors described above.

We compare and contrast the effects of factors that can increase the probability of accumulating mutations and thus evolving a respiratory droplet transmissible A/H5N1 influenza virus in a mammalian host, and factors that could decrease the probability of evolving a such a virus.

The probability of evolving demographic characteristics in time to stave off extinction will decrease with fragment size, as these fragments have less time before hitting zero, and potentially less genetic variation for selection to work with.

In both genes, positive selection was detected in the site-specific models analyses with a high posterior probability of evolving under positive selection for two atpB (sites 16 and 488) and one petA (site 239) residues but not in the branch-site models (Tables S3 to S5).

The numerator lists the probability of evolving 'b' from 'a' or 'a' from 'b' in time t0, i.e., the probability of observing the (a,b) or (b,a) pair in two homologous sequences evolving under Q, while the denominator shows the probability of observing (a,b) or (b,a) in a pair of random sequences with residues drawn from the distribution π.

So too many supernovas reduce the probability of life evolving.

The latter property in turn increases the probability of clones evolving with multi-drug resistance.

The probability of A evolving to C is computed using a nucleotide substitution model.

The initiation of effective antibiotic therapy early in the course of an infection may reduce the probability of pathogens evolving resistance [ 2].

The greedy algorithm is a dubious choice for evolutionary studies, since, for example, the probability of an evolving population moving from one code to the next in any evolutionary model should be a function of the probability of occurrence of the proper mutation and the probability of subsequent fixation, and the greedy algorithm ignores the probability of occurrence altogether.