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Best matches for neo4j:

cyNeo4j: connecting Neo4j and Cytoscape. Summer G et al. Bioinformatics. (2015)

Neo4j graph database realizes efficient storage performance of oilfield ontology. Gong F et al. PLoS One. (2018)

Implementation of a HL7-CQL Engine Using the Graph Database Neo4J. Fette G et al. Stud Health Technol Inform. (2019)

Search results

Items: 1 to 20 of 34

1.

Information Management in Healthcare and Environment: Towards an Automatic System for Fake News Detection.

Lara-Navarra P, Falciani H, Sánchez-Pérez EA, Ferrer-Sapena A.

Int J Environ Res Public Health. 2020 Feb 8;17(3). pii: E1066. doi: 10.3390/ijerph17031066.

2.

A Queryable Graph Representation of Vascular Connectivity in the Whole Mouse Brain.

Nowak MR, Lee J, Choe Y.

Conf Proc IEEE Eng Med Biol Soc. 2019 Jul;2019:256-260. doi: 10.1109/EMBC.2019.8857961.

PMID:
31945890
3.

Plant Regulomics Portal (PRP): a comprehensive integrated regulatory information and analysis portal for plant genomes.

Panzade G, Gangwar I, Awasthi S, Sharma N, Shankar R.

Database (Oxford). 2019 Jan 1;2019. pii: baz130. doi: 10.1093/database/baz130.

4.

New tools in MolProbity validation: CaBLAM for CryoEM backbone, UnDowser to rethink "waters," and NGL Viewer to recapture online 3D graphics.

Prisant MG, Williams CJ, Chen VB, Richardson JS, Richardson DC.

Protein Sci. 2020 Jan;29(1):315-329. doi: 10.1002/pro.3786. Epub 2019 Dec 10.

PMID:
31724275
5.

RPGeNet v2.0: expanding the universe of retinal disease gene interactions network.

Arenas-Galnares R, Castillo-Lara S, Toulis V, Boloc D, Gonzàlez-Duarte R, Marfany G, Abril JF.

Database (Oxford). 2019 Jan 1;2019. pii: baz120. doi: 10.1093/database/baz120.

6.

COMBAT-TB-NeoDB: fostering tuberculosis research through integrative analysis using graph database technologies.

Lose T, van Heusden P, Christoffels A.

Bioinformatics. 2020 Feb 1;36(3):982-983. doi: 10.1093/bioinformatics/btz658.

PMID:
31504165
7.

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.

Stud Health Technol Inform. 2019 Sep 3;267:46-51. doi: 10.3233/SHTI190804.

PMID:
31483253
8.

SemNet: Using Local Features to Navigate the Biomedical Concept Graph.

Sedler AR, Mitchell CS.

Front Bioeng Biotechnol. 2019 Jul 3;7:156. doi: 10.3389/fbioe.2019.00156. eCollection 2019.

9.

QAnalysis: a question-answer driven analytic tool on knowledge graphs for leveraging electronic medical records for clinical research.

Ruan T, Huang Y, Liu X, Xia Y, Gao J.

BMC Med Inform Decis Mak. 2019 Apr 1;19(1):82. doi: 10.1186/s12911-019-0798-8.

10.

GenCoNet - A Graph Database for the Analysis of Comorbidities by Gene Networks.

Shoshi A, Hofestädt R, Zolotareva O, Friedrichs M, Maier A, Ivanisenko VA, Dosenko VE, Bragina EY.

J Integr Bioinform. 2018 Dec 25;15(4). pii: /j/jib.2018.15.issue-4/jib-2018-0049/jib-2018-0049.xml. doi: 10.1515/jib-2018-0049.

11.

GRIMM: GRaph IMputation and matching for HLA genotypes.

Maiers M, Halagan M, Gragert L, Bashyal P, Brelsford J, Schneider J, Lutsker P, Louzoun Y.

Bioinformatics. 2019 Sep 15;35(18):3520-3523. doi: 10.1093/bioinformatics/btz050.

PMID:
30689784
12.

ANIMA: Association network integration for multiscale analysis.

Deffur A, Wilkinson RJ, Mayosi BM, Mulder NM.

Version 2. Wellcome Open Res. 2018 Nov 14 [revised 2018 Jan 1];3:27. doi: 10.12688/wellcomeopenres.14073.3. eCollection 2018.

13.

Neo4j graph database realizes efficient storage performance of oilfield ontology.

Gong F, Ma Y, Gong W, Li X, Li C, Yuan X.

PLoS One. 2018 Nov 16;13(11):e0207595. doi: 10.1371/journal.pone.0207595. eCollection 2018.

14.

Secure large-scale genome data storage and query.

Chen L, Aziz MM, Mohammed N, Jiang X.

Comput Methods Programs Biomed. 2018 Oct;165:129-137. doi: 10.1016/j.cmpb.2018.08.007. Epub 2018 Aug 16.

15.

Using Graph Tools on Metadata Repositories.

Ulrich H, Kock-Schoppenhauer AK, Duhm-Harbeck P, Ingenerf J.

Stud Health Technol Inform. 2018;253:55-59.

PMID:
30147040
16.

Towards FAIRer Biological Knowledge Networks Using a Hybrid Linked Data and Graph Database Approach.

Brandizi M, Singh A, Rawlings C, Hassani-Pak K.

J Integr Bioinform. 2018 Aug 7;15(3). pii: /j/jib.2018.15.issue-3/jib-2018-0023/jib-2018-0023.xml. doi: 10.1515/jib-2018-0023.

17.

BED: a Biological Entity Dictionary based on a graph data model.

Godard P, van Eyll J.

Version 3. F1000Res. 2018 Feb 15 [revised 2018 Jan 1];7:195. doi: 10.12688/f1000research.13925.3. eCollection 2018.

18.

Interleukins and their signaling pathways in the Reactome biological pathway database.

Jupe S, Ray K, Roca CD, Varusai T, Shamovsky V, Stein L, D'Eustachio P, Hermjakob H.

J Allergy Clin Immunol. 2018 Apr;141(4):1411-1416. doi: 10.1016/j.jaci.2017.12.992. Epub 2018 Feb 21.

19.

Reactome graph database: Efficient access to complex pathway data.

Fabregat A, Korninger F, Viteri G, Sidiropoulos K, Marin-Garcia P, Ping P, Wu G, Stein L, D'Eustachio P, Hermjakob H.

PLoS Comput Biol. 2018 Jan 29;14(1):e1005968. doi: 10.1371/journal.pcbi.1005968. eCollection 2018 Jan.

20.

PlanNET: homology-based predicted interactome for multiple planarian transcriptomes.

Castillo-Lara S, Abril JF.

Bioinformatics. 2018 Mar 15;34(6):1016-1023. doi: 10.1093/bioinformatics/btx738.

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