Exact(1)
Each gene was then evolved down its subtree under a GTR+Gamma+Invariable process (i.e., General Time Reversible process, with rates for sites drawn from a gamma plus invariable distribution [ 20]).
Similar(58)
The program MrBayes [ 22] was used to reconstruct the trees, assuming a JC model with invariable sites and a covarion process (JC+I+covarion).
A more thorough investigation of the lifecycle of information models (including their clinical application) should be done with respect to the efficiency of the review process: Are these models invariable for a long time and is therefore an expensive validation process justifiable?
Traditional dynamic method for temperature measurement is generally based on the assumption that the thermal inertia coefficient of a thermocouple junction is invariable (time constant) within the whole measuring process.
GO term analysis indicates that these "stable" and "invariable" genes are involved in various biological processes, such as, chromatin modification, (BAZ1B, CHD2 and MECP2); mRNA processing (SRRM1, RBM25, CPSF7) and neuronal cell adhesion (CDK5R1, NLGN2, ASTN1).
The legal concept of inherency in the United States implies a consistent result of a process, that is, it must be invariable or inevitable that one obtains the later claimed result to establish inherency.
By contrast, all the other nucleosomes displayed a pattern of sharp, regularly spaced peaks that remained virtually invariable despite the different physiological stages and the chromosomal processes undergone by the cells.
Most individuals possessing a potential 'ghost haplotype' (i.e. a substitution or ambiguity at an invariable site of the extant samples data set) were processed again from multiplex PCR onwards to verify these or detect and correct nucleotide misincorporations [ 77, 78].
Each gene was then evolved down its subtree under a General Time Reversible process with rates for sites drawn from a Gamma plus Invariable distribution (GTR+Gamma+I) [ 24]), using a variety of GTR matrices estimated for different biological datasets (see Appendix [Additional file 1]).
According to stochastic process theory, if the input of a linear time-invariable system is a stationary random process, then the output of the system is also a stationary random process [76].
That variations in differentiation propensity are observed in iPSCs derived from the same donor (Nasu et al., 2013) indicates that the reprogramming process may not reset cells to a younger state in an invariable manner.
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