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Reactive oxygen species (ROS), consisting of the superoxide anion radical (O2−), hydrogen peroxide (H2O2), the hydroxyl radical (OH) and hydroxyl radical ion (OH−) are formed by a variety of chemical, photochemical and biological pathways in a stepwise reduction of oxygen [1].
We designed an analysis approach to identify interactions between biological pathways in a specific context.
Being SBGN compliant and machine readable, BCML provides a convenient and precise way to represent biological pathways, in a form useful to both the biologist and the bioinformatician.
Our work shows that it is practical to apply model comparison to test ideas about underlying mechanisms of biological pathways in a formal and quantitative way.
We show that it is practical to apply maximum likelihood as well as Bayesian model comparison procedures to test ideas about underlying mechanisms of biological pathways in a formal and quantitative way.
It is conceivable that genetic variation that influences complex traits accumulates at foci of convergence that act across different pathways but have similar cellular function and that can influence multiple biological pathways in a similar manner.
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A standard, named the Systems Biology Graphical Notation (SBGN), was recently introduced to allow scientists to represent biological pathways in an unambiguous, easy-to-understand and efficient manner.
The aim that guided the development of BCML was to build a flexible and dynamic representation of biological pathways in an unambiguous way, while still being understandable by the biologist, being able to improve the available analysis and supporting features such as contextual selection, extended annotation and graphical visualization.
GO terms define gene sets, but the relevance of a given metabolic process or biological pathway in a dataset is determined not only by the number of identified genes, but also by their relative abundance ratio considering the total number of genes involved in each pathway.
This could lead to a more integrative view of the perturbed biological pathways in schizophrenia through a systems biology approach.
DIANA-mirExTra moves towards this direction through its direct integration with a functional analysis tool, DIANA-mirPath, suggesting biological pathways in which targets of a miRNA of interest are more probable to be involved.
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