Semantic Life Science
Research in many biological systems, particularly those involving infectious agents, continues to experience an enormous increase in information with the sequencing of genomes, the use of expression profiling, and the completion of proteomic analyses. For example, annotated genomes and comparative analyses of two T.cruzi related kinetoplastids, Trypanosoma brucei and Leishmania major, and a whole organism (all life-cycle stages) proteome analysis of T.cruzi have been published. Data from other sequencing projects in T.cruzi, including ESTs, preexisting and ongoing expression profiling (DNA microarray) and proteome analyses are also available. These dynamic datasets, addressing different but logically related aspects, are distributed over multiple databases that undergo frequent additions
and curation. Biologists often need to query multiple sources of data simultaneously in the course of their research, which pertain to the same domain (e.g., T.cruzi) but are distinct types of data (e.g.,
genomic, proteomic, immunologic).
We have worked on
- Developing large, complex, and open source ontologies;
- A comprehensive framework for automated semantic provenance annotation of proteomics experimental data;
- Biological applications and tools implemented and deployed as Web based SWSs;
- Scientific workflows for high thoughput scientific experiments that use SWSs.
The following projects pages decribe further details:
