Sentence examples for mutational model in from inspiring English sources

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Segment CNV distributions for the rSFS more properly reflect the mutational model in which CNV likely originate as segments and not gene-by-gene.

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Nevertheless, a mode shift in the allele-frequency spectrum was detected in four populations including the Negeri Sembilan population, although no significant result was found in the bottleneck analyses using all mutational models in that particular population.

Sites with missing data, with indels, or that violated the infinite sites mutational model were not included in the analysis.

Recessive cancer genes are expected to be deleted or otherwise inactivated and this component must be included in our mutational model.

In the mutational model, the extracellular consecutive AATYM55 motif was implicated to be CDR2 [ 20] whereas co-crystallographic structures characterized the C'-C" loop encompassing a single Met 55 as CDR2 [ 17, 19].

We note also that these observations appear to rule out mutational bias as an explanation for the changes in SP1 binding sites, as a neutral mutational model cannot explain the significant relative enrichment of SP1 function in converted promoters.

In fact, they test for a full (WF) neutral model with all its assumptions including neutrality, but also strong assumptions about demography and the mutational model.

The mutational model postulates that genetic compositional constraints influence the probability of mutational fixation [ 23] and this has been found in many species [ 12, 13, 15, 31, 32].

Winkles is based on the model described in Beaumont and Nichols [ 20] which employs coalescent simulations using the Island model and an infinite alleles mutational model.

To investigate whether the suppression of CpG in RNA viruses was a response to similar mutational and selection pressures observed in their hosts' mRNA sequences, 420 animal positive- and negative- sense viruses were analyzed using the 96 parameter mutational model.

However the mutational models we have discovered are compelling in their simplicity, efficiently account for observational data with a minimum of parameters and predict context-dependent mutations and rates that are both biologically plausible and consistent with results and inferences made from different approaches [ 19- 22].

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