EpiGraphDB: a database and data mining platform for health data science.

ABSTRACT:

Motivation

The wealth of data resources on human phenotypes, risk factors, molecular traits and therapeutic interventions presents new opportunities for population health sciences. These opportunities are paralleled by a growing need for data integration, curation and mining to increase research efficiency, reduce mis-inference and ensure reproducible research.

Results

We developed EpiGraphDB (https://epigraphdb.org/), a graph database containing an array of different biomedical and epidemiological relationships and an analytical platform to support their use in human population health data science. In addition, we present three case studies that illustrate the value of this platform. The first uses EpiGraphDB to evaluate potential pleiotropic relationships, addressing mis-i

SUBMITTER: Liu Y 

PROVIDER: S-EPMC8189674 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature