Mughal, S, Moghul, I, Yu, J et al. (28 more authors) (2017) Pheno4J: A gene to phenotype graph database. Bioinformatics, 33 (20). pp. 3317-3319. ISSN 1367-4803
Abstract
Efficient storage and querying of large amounts of genetic and phenotypic data is crucial to contemporary clinical genetic research. This introduces computational challenges for classical relational databases, due to the sparsity and sheer volume of the data. Our Java based solution loads annotated genetic variants and well phenotyped patients into a graph database to allow fast efficient storage and querying of large volumes of structured genetic and phenotypic data. This abstracts technical problems away and lets researchers focus on the science rather than the implementation. We have also developed an accompanying webserver with end-points to facilitate querying of the database.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Institute of Rheumatology & Musculoskeletal Medicine (LIRMM) (Leeds) > Inflammatory Arthritis (Leeds) |
Funding Information: | Funder Grant number Fight for Sight GR586 |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Jan 2020 13:55 |
Last Modified: | 07 Jan 2020 13:55 |
Status: | Published |
Publisher: | Oxford University Press |
Identification Number: | 10.1093/bioinformatics/btx397 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:155208 |