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Can Neo4j Replace PostgreSQL in Healthcare?
Stothers JAM, Nguyen A. Stothers JAM, et al. AMIA Jt Summits Transl Sci Proc. 2020 May 30;2020:646-653. eCollection 2020. AMIA Jt Summits Transl Sci Proc. 2020. PMID: 32477687 Free PMC article.
In this paper, we conduct a side by side comparison of PostgreSQL (using SQL) and Neo4j (using Cypher) using the MIMIC-III patient database as a case study. ...This leads to the conclusion that while PostgreSQL is adequate as a database, Neo4j should be considered a …
In this paper, we conduct a side by side comparison of PostgreSQL (using SQL) and Neo4j (using Cypher) using the MIMIC-III patient da …
Neo4j graph database realizes efficient storage performance of oilfield ontology.
Gong F, Ma Y, Gong W, Li X, Li C, Yuan X. Gong F, et al. PLoS One. 2018 Nov 16;13(11):e0207595. doi: 10.1371/journal.pone.0207595. eCollection 2018. PLoS One. 2018. PMID: 30444913 Free PMC article.
To overcome these challenges, we propose a domain-ontology process based on the Neo4j graph database. In this paper, we focus on data storage and information retrieval of oilfield ontology. We have designed mapping rules from ontology files to regulate the Neo4j dat …
To overcome these challenges, we propose a domain-ontology process based on the Neo4j graph database. In this paper, we focus on data …
cyNeo4j: connecting Neo4j and Cytoscape.
Summer G, Kelder T, Ono K, Radonjic M, Heymans S, Demchak B. Summer G, et al. Bioinformatics. 2015 Dec 1;31(23):3868-9. doi: 10.1093/bioinformatics/btv460. Epub 2015 Aug 12. Bioinformatics. 2015. PMID: 26272981 Free PMC article.
We developed cyNeo4j, a Cytoscape App to link Cytoscape and Neo4j databases to utilize the performance and storage capacities Neo4j offers. We implemented a Neo4j NetworkAnalyzer, ForceAtlas2 layout and Cypher component to demonstrate the possibilities a dist …
We developed cyNeo4j, a Cytoscape App to link Cytoscape and Neo4j databases to utilize the performance and storage capacities Neo4
Implementation of a HL7-CQL Engine Using the Graph Database Neo4J.
Fette G, Kaspar M, Liman L, Ertl M, Krebs J, Störk S, Puppe F. Fette G, et al. Stud Health Technol Inform. 2019 Sep 3;267:46-51. doi: 10.3233/SHTI190804. Stud Health Technol Inform. 2019. PMID: 31483253
As FHIR data represents a graph structure, the authors pursue the approach of storing all data contained in a FHIR server in the graph database Neo4J and to translate CQL queries into Neo4J's query language Cypher. ...
As FHIR data represents a graph structure, the authors pursue the approach of storing all data contained in a FHIR server in the graph datab …
CompoundDB4j: Integrated Drug Resource of Heterogeneous Chemical Databases.
Murali V, Königs C, Deekshitula S, Nukala S, Santhi MD, Athri P. Murali V, et al. Mol Inform. 2020 Sep;39(9):e2000013. doi: 10.1002/minf.202000013. Epub 2020 Jun 15. Mol Inform. 2020. PMID: 32390334
The integration of these resources and the harmonization using knowledge graph serialization using Neo4j lead to identification of relationships between drugs and other related features that are otherwise spread across two different resources. A common data format, a prere …
The integration of these resources and the harmonization using knowledge graph serialization using Neo4j lead to identification of re …
Use of Graph Database for the Integration of Heterogeneous Biological Data.
Yoon BH, Kim SK, Kim SY. Yoon BH, et al. Genomics Inform. 2017 Mar;15(1):19-27. doi: 10.5808/GI.2017.15.1.19. Epub 2017 Mar 29. Genomics Inform. 2017. PMID: 28416946 Free PMC article.
When we tested the query execution performance of MySQL versus Neo4j, we found that Neo4j outperformed MySQL in all cases. While Neo4j exhibited a very fast response for various queries, MySQL exhibited latent or unfinished responses for complex queries with …
When we tested the query execution performance of MySQL versus Neo4j, we found that Neo4j outperformed MySQL in all cases. Whi …
Recon2Neo4j: applying graph database technologies for managing comprehensive genome-scale networks.
Balaur I, Mazein A, Saqi M, Lysenko A, Rawlings CJ, Auffray C. Balaur I, et al. Bioinformatics. 2017 Apr 1;33(7):1096-1098. doi: 10.1093/bioinformatics/btw731. Bioinformatics. 2017. PMID: 27993779 Free PMC article.
The Neo4j-based metabolic framework facilitates exploration of highly connected and comprehensive human metabolic data and identification of metabolic subnetworks of interest. A Java-based parser component has been developed to convert query results (available in the JSON …
The Neo4j-based metabolic framework facilitates exploration of highly connected and comprehensive human metabolic data and identifica …
Structured reviews for data and knowledge-driven research.
Queralt-Rosinach N, Stupp GS, Li TS, Mayers M, Hoatlin ME, Might M, Good BM, Su AI. Queralt-Rosinach N, et al. Database (Oxford). 2020 Jan 1;2020:baaa015. doi: 10.1093/database/baaa015. Database (Oxford). 2020. PMID: 32283553 Free PMC article.
We represented this structured review as a knowledge graph and then stored this knowledge graph in a Neo4j database to simplify dissemination, querying and visualization of the network. ...
We represented this structured review as a knowledge graph and then stored this knowledge graph in a Neo4j database to simplify disse …
SmartGraph: a network pharmacology investigation platform.
Zahoránszky-Kőhalmi G, Sheils T, Oprea TI. Zahoránszky-Kőhalmi G, et al. J Cheminform. 2020 Jan 21;12(1):5. doi: 10.1186/s13321-020-0409-9. J Cheminform. 2020. PMID: 33430980 Free PMC article.
SmartGraph is an innovative platform that utilizes state-of-the-art technologies such as a Neo4j graph-database, Angular web framework, RxJS asynchronous event library and D3 visualization to accomplish these goals. ...
SmartGraph is an innovative platform that utilizes state-of-the-art technologies such as a Neo4j graph-database, Angular web framewor …
Perspective: Towards Automated Tracking of Content and Evidence Appraisal of Nutrition Research.
Yang C, Hawwash D, De Baets B, Bouwman J, Lachat C. Yang C, et al. Adv Nutr. 2020 Sep 1;11(5):1079-1088. doi: 10.1093/advances/nmaa057. Adv Nutr. 2020. PMID: 32504536
We used the STROBE extension for nutritional epidemiology (STROBE-nut) reporting guidelines to manually annotate a sample of 15 articles and converted the semantic information into linked data in a Neo4j graph database through an automated process. Six summary statistics w …
We used the STROBE extension for nutritional epidemiology (STROBE-nut) reporting guidelines to manually annotate a sample of 15 articles and …
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