4. Identification of representative phenotypic models: Given the inherent genotypic-phenotypic variability of parasites, identification of representative phenotypic models can be valuable for understanding the core trends in the data.
It also contributes towards a better understanding of the impact of depression upon, for example, quality of life, when adjusted for the variability of case identification across different screening instruments.
Low intra- and inter-observer variability of landmark identification on a CT scan that defines the coordinate system of the femur and tibia has been reported (Victor et al. 2009).
The aim of phylogenetic framework construction is to define a range of genetic variability within the species and later exploiting this variability for identification of different isolates.
These differences may, in part, be because of variability in identification of endoscopic criteria.
Population PKPD analysis is particularly useful for the characterization of variability and identification of covariates based on clinical data.
The process includes three major steps: i) extraction of all influenza A protein sequence data, processing and definition of data sets comprising relevant human and avian virus groups; ii) entropy analysis of sequence variability and identification of conserved peptide sequences of 9 amino acids or longer; and iii) prediction of supertype-restricted, HLA-binding sequences.
For this study, the L and P1 coding regions for eight FMDV A and nine FMDV O viruses isolated between 1975 and 2003 were successfully sequenced and analysed using phylogenetic analysis, examination of sequence variability, and identification of highly conserved genomic regions relating to previously identified FMDV functional and structural biological capabilities.
They include, for example, repeat masking in genome sequencing projects, detailed investigation of intra- and intergenomic repeat variability, and identification of conserved non-coding regulatory sequences.
In principle, geographic and genetic variability allow identification of recolonisation routes and hybrid zones after the last ice ages [ 10, 11].
