Research-level tool for ontology based micro-array data analysisanalysis software
Microarray and gene expression are fundamental tools of nowadays Biology research. While standard formats and software systems have been developed to represent and publicly share information about microarray experiments, existing computational solutions give limited support to the representation of the outcomes, experimental hypotheses or conclusions about biological questions that are dealt with in gene expression analysis. We propose an OWL-based model and a Semantic Web-based approach to address the issue. We show that the formalization of microarray-related knowledge has the potential to enhance the access and the sharing of gene expression data; it promotes the collaboration on analysing them and, in general, it can improve the achievements of the scientific community working in the field.
The thesis paper and a software demo are available at http://brandizi.webhop.net/phdthesis.