Large-scale data integration framework provides a comprehensive view on glioblastoma multiforme.

ABSTRACT:

Background

Coordinated efforts to collect large-scale data sets provide a basis for systems level understanding of complex diseases. In order to translate these fragmented and heterogeneous data sets into knowledge and medical benefits, advanced computational methods for data analysis, integration and visualization are needed.

Methods

We introduce a novel data integration framework, Anduril, for translating fragmented large-scale data into testable predictions. The Anduril framework allows rapid integration of heterogeneous data with state-of-the-art computational methods and existing knowledge in bio-databases. Anduril automatically generates thorough summary reports and a website that shows the most relevant features of each gene at a glance, allows sorting of data based o

SUBMITTER: Ovaska K 

PROVIDER: S-EPMC3092116 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature