A reproducible approach to high-throughput biological data acquisition and integration.

ABSTRACT: Modern biological research requires rapid, complex, and reproducible integration of multiple experimental results generated both internally and externally (e.g., from public repositories). Although large systematic meta-analyses are among the most effective approaches both for clinical biomarker discovery and for computational inference of biomolecular mechanisms, identifying, acquiring, and integrating relevant experimental results from multiple sources for a given study can be time-consuming and error-prone. To enable efficient and reproducible integration of diverse experimental results, we developed a novel approach for standardized acquisition and analysis of high-throughput and heterogeneous biological data. This allowed, first, novel biomolecular network reconstruction in human pros

SUBMITTER: Bornigen D 

PROVIDER: S-EPMC4493686 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature