The heavyweight web-based genome analysis frameworks, such as Galaxy [ 21], have a lot of ready-made modules and meet most of the requirements for systems for the genetic data analysis.
Some approaches are used across both fields, including avoided or replacement costs, as well as decision-analysis frameworks such as benefit cost, cost effectiveness, and cost utility.
Modeling and analysis in a formal framework, such as Maude, can then be used to prototype ideas, develop techniques to analyze design decisions, and inform observation/adaptation decisions.
In particular, the analysis of the functional consequences of alternative-splicing within a systems framework, such as the analysis of the exonic targets of the neuronal splicing factor NOVA1 [ 77], remains a relatively unexplored area that seems destined for advances with more accurate transcript reconstruction methods from RNA-seq data.
First, a new conceptual framework is created composed of a simple list of defined themes consisting of any a priori themes supported by evidence from the included studies, plus any new themes generated by thematic analysis of evidence falling outside of the framework (such as Tables 3 and 4).
In contrast, methods incorporating a full probabilistic coalescent framework, such as the *BEAST analysis implemented herein, have been proposed to provide more biologically realistic estimates because multiple gene trees provide independent realizations of divergence history, accounting for mutational and coalescent stochasticity [ 18].
Other complex methods based on the counterfactual framework, such as the randomised-based analysis which employs g-estimation methods, were also not evaluated.
Furthermore, the organism-specific weights as obtained from a Taxy analysis can be used as priors in a probabilistic fragment classification framework such as the NBC approach (Rosen et al., 2008).
Promoter/motif combinations generated in this analysis can be further validated experimentally, e. g. in a framework such as that used by [ 15].
Although some of the studies developed their study questions based on theoretical framework such as HBM [17], [23], [24], none have conducted model analysis and evaluated the model fit.
