CMGSDB: integrating heterogeneous Caenorhabditis elegans data sources using compositional data mining

CMGSDB: integrating heterogeneous Caenorhabditis elegans data sources using compositional data mining

CMGSDB (Database for Computational Modeling of Gene Silencing) is an integration of heterogeneous data sources about Caenorhabditis elegans with capabilities for compositional data mining (CDM) across diverse domains. Besides gene, protein and functional annotations, CMGSDB currently unifies information about 531 RNAi phenotypes obtained from heterogeneous databases using a hierarchical scheme....

Integrating Heterogeneous Data Sources in the Web

Integrating data sources published on the Web requires an integration strategy that guarantees the local data sources’ autonomy. A multidatabase system (MDBS) has been consolidated as an approach to integrate multiple heterogeneous and distributed data sources in flexible and dynamic environments such as the Web. A key property of MDBSs is to guarantee a higher degree of local autonomy. In orde...

musicSpace: Integrating Musicology’s Heterogeneous Data Sources

A significant barrier to the research endeavours of musicologists (and humanities scholars more generally) is the sheer amount of potentially relevant information that has accumulated over centuries. Whereas researchers once faced the daunting prospect of physically scouring through endless primary and secondary sources in order to answer the basic whats, wheres and whens of history, these sour...

Integrating Heterogeneous Data Sources with Temporal Constraints Using Wrappers

Integrating Heterogeneous Microarray Data Sources Using Correlation Signatures

Microarrays are one of the latest breakthroughs in experimental molecular biology. Thousands of different research groups generate tens of thousands of microarray gene expression profiles based on different tissues, species, and conditions. Combining such vast amount of microarray data sets is an important and yet challenging problem. In this paper, we introduce a “correlation signature” method...