Combining the results of different genomic and proteomic studies poses a problem for researchers, especially when such studies produce conflicting results. The IGIPI framework is an ontological framework that addresses the problem of combining data from multiple genomic experiments. IGIPI views different genomic experiments as pieces of a puzzle that if positioned properly will create a more complete model of the cell. IGIPI can also be used as an ontology-based clustering technique, to predict gene function more effectively than traditional clustering techniques.

Download paper in PDF format.

The documents distributed by this server have been provided by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.