Erratum to: EpiGraphDB: a database and data mining platform for health data science
| Autor: | Oliver Lloyd, Gibran Hemani, Valeriia Haberland, Marina Vabistsevits, Matthew Lyon, Yi Liu, Benjamin Elsworth, Tom R. Gaunt, Jie Zheng, Pau Erola |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Statistics and Probability
Information retrieval AcademicSubjects/SCI01060 Databases Factual business.industry Computer science Data Science MEDLINE Biochemistry Computer Science Applications Health data Computational Mathematics Phenotype Text mining Computational Theory and Mathematics Data Mining Humans Erratum business Molecular Biology Software |
| Zdroj: | Bioinformatics |
| ISSN: | 1367-4811 1367-4803 |
| DOI: | 10.1093/bioinformatics/btab104 |
| Popis: | 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.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-inference in systematic causal analysis. In the second case study, we illustrate how protein-protein interaction data offer opportunities to identify new drug targets. The final case study integrates causal inference using Mendelian randomization with relationships mined from the biomedical literature to 'triangulate' evidence from different sources.The EpiGraphDB platform is openly available at https://epigraphdb.org. Code for replicating case study results is available at https://github.com/MRCIEU/epigraphdb as Jupyter notebooks using the API, and https://mrcieu.github.io/epigraphdb-r using the R package.Supplementary data are available at Bioinformatics online. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|