Ontology-based meta-analysis of global collections of high-throughput public data.

ABSTRACT:

Background

The investigation of the interconnections between the molecular and genetic events that govern biological systems is essential if we are to understand the development of disease and design effective novel treatments. Microarray and next-generation sequencing technologies have the potential to provide this information. However, taking full advantage of these approaches requires that biological connections be made across large quantities of highly heterogeneous genomic datasets. Leveraging the increasingly huge quantities of genomic data in the public domain is fast becoming one of the key challenges in the research community today.

Methodology/results

We have developed a novel data mining framework that enables researchers to use this growing collection of public h

SUBMITTER: Kupershmidt I 

PROVIDER: S-EPMC2947508 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature