- WDI-Lab: Web Data Integration
- Business Intelligence with Integrated Instance Graphs
- LOD Link Discovery
- Mashup data integration
- Object Matching
- Schema and Ontology Matching
- Evolution of Ontologies and Mappings
- Former projects
- Annual reports
Integration of molecular-biological Data
Molecular-biological annotation data is continuously being collected, curated and made accessible in numerous public data sources.
Integration of this data is a major challenge in bioinformatics. We developed the GenMapper system that physically integrates
heterogeneous annotation data in a flexible way and supports large-scale analysis on the integrated data. It uses a generic data
model to uniformly represent different kinds of annotations originating from different data sources. Existing associations between
objects, which represent valuable biological knowledge, are explicitly utilized to drive data integration and combine annotation
knowledge from different sources. To serve specific analysis needs, powerful operators are provided to derive tailored annotation
views from the generic data representation. GenMapper is operational and has been successfully used for large-scale functional
profiling of genes.
The current version of GenMapper is available here.
We also developed a hybrid approach to integrate annotation data for the expression analysis of genes and proteins. Expression data is materialized in a data warehouse while annotation data is integrated virtually according to analysis needs. To facilitate the access to many sources we utilize the commercial product SRS (Sequence Retrieval System) of LION bioscience.
BioFuice is a novel approach for integrating data from different private and public data sources and ontologies. BioFuice follows a peer-to-peer-like data integration based on bidirectional mappings. Sources and mappings are associated with a domain model to support a semantically meaningful interoperability. BioFuice extends the generic iFuice integration platform which utilizes specific operators for data fusion and workflow-like script programs. BioFuice supports explorative data analysis and query and search capabilities. We have applied BioFuice in different research projects, such as for integrating protein interactions, detection of non-coding RNA and gene annotations based on expression experiments.
Current Project Members:
Previous Project Members:
- Hong-Hai Do
- Christine Körner (Diploma student)
Further and Related Information:
- about GenMapper on the IZBI homepage
- about BioFuice on the IZBI homepage
- about Gene Expression Warehousing
- about Networked Computing Resources for Biomedical Research (MediGRID)
- Christine Körner: Integration von Genannotationen aus Web-Datenquellen, 2005
Posters and Talks: