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Several studies employed the MeSH terms to infer the relationships between the biological objects [ 6- 8].
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This extension also offers a tool to create graphs using the biological objects as edges denoting a relationship between other objects that the protein is linked to.
In addition to the choice of transcriptome profiling technology and differences in the biological objects, other factors likely contribute to the variations between the two studies.
Dielectrophoresis utilizes the differences of dielectric coefficients between the holding medium and the biological object to separate healthy oocytes [ 38, 39].
The first category is the "function", which describes the relationships between biological objects.
In this note, we present a generic, web-based tool called SimCT (Similarity Clustering Tool) which allows the visualization of the relations between biological objects (e.g. genes, proteins, etc).
For understanding a model it is useful to capture the relationships between biological objects, e.g. between a protein and its phosphorylated versions or between a dimer and its part (maybe modelled as partonomic relations, see above).
These networks provide important information for understanding the underlying biological processes, since they offer a global view of the relationships between biological objects.
Summary: We present a web-based service, SimCT, which allows to graphically display the relationships between biological objects (e.g. genes or proteins) based on their annotations to a biomedical ontology.
Other researches arrange the specific context in order to infer the new relationships between biological objects [ 8, 9].
Thus, nanotoxicology refers to the study of potential negative effects coming from the interaction between nanomaterials and biological objects [9, 10].
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